Curriculum Vitae: Michael David LEE Personal Details Name ...

Curriculum Vitae: Michael David LEE 

Personal Details 

Name: Michael David LEE 

Address: Department of Cognitive Sciences, University of California, Irvine, CA, 92697‐5100 

Telephone: +1 (949) 824‐2969 

Facsimile:+1 (949) 824‐2307 

E‐mail: mdlee@uci.edu 

URL: http://www.socsci.uci.edu/~mdlee/ 

Employment History 

1. Full Professor, Department of Cognitive Sciences, University of California, Irvine, 2009‐present. 

2. Full Professor & Chair, Department of Cognitive Sciences, University of California, Irvine, 2010‐2012. 

3. Associate Professor, Department of Cognitive Sciences, University of California, Irvine, 2007‐2009. 

4. Assistant Professor, Department of Cognitive Sciences, University of California, Irvine, 2006‐2007. 

5. Associate Professor, Department of Psychology, University of Adelaide, 2005‐2006. 

6. Senior Lecturer, Department of Psychology, University of Adelaide, 2001‐2004. 

7. Senior Research Scientist, Communications Division, Defence Science and Technology Organisation, 2000‐2001. 

8. Research Scientist, Communications Division, Defence Science and Technology Organisation, 1997‐1999. 

Qualifications 

1. Doctor of Philosophy, University of Adelaide, 1994‐1997: “The connectionist learning of mental representation.” 

Supervisors: A/Prof D. Vickers (Psychology), Prof R. Bogner (Electrical and Electronic Engineering). 

2. Graduate Diploma in Education, University of Adelaide, 1993. 

3. Bachelor of Arts (Honours, First Class), Department of Psychology, University of Adelaide, 1992. 

4. Bachelor of Science, Faculty of Mathematical Sciences, University of Adelaide, 1988‐1990. 

Awards 

1. Co‐author on paper, “A model‐based approach to measuring expertise in ranking tasks”, 2011, which won the best 

applied cognitive modeling paper award at the 33 rd Annual Conference of the Cognitive Science Society. 

2. Co‐author on paper “Modeling individual differences in category learning “ with student M. Webb, 2004, which 

received one of two honorable mentions for the David Marr Prize at the 26th Annual Conference of the Cognitive 

Science Society. 

3. Society for Mathematical Psychology New Investigator Award, 2003. Received for best “scientific contributions to the 

field of mathematical psychology” by a researcher no more than six years beyond their PhD qualification. 

4. Defence Science and Technology Organisation Technology Base Award, 1999. Received for the “best fundamental 

research contribution” within the Electronics and Surveillance Research Laboratory. 

5. Australian Psychology Society Prize, 1992. Awarded to the top‐ranking Honours student in Psychology at University of 

Adelaide. 

Publications 

Submitted Manuscripts 

1. Butavicius, M.A., Lee, M.D., Pincombe, B.M., Mullen, L.G., Navarro, D.J., Parsons, K.M., & McCormac, A. (submitted). 

An assessment of email and spontaneous dialogue visualizations. 

2. Vanpaemel, W., & Lee, M.D. (submitted). Using priors to formalize theory: Optimal attention and the Generalized 

Context Model. 

3. Lee, M.D., & Newell, B.R. (submitted). Using hierarchical Bayesian methods to examine the tools of decision‐making. 

Refereed Journal Articles 

1. Lee, M.D. (1997). The connectionist construction of psychological spaces. Connection Science, 9, 323‐351. 

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Curriculum Vitae: Michael David LEE, 4-November-2011 

2. Lee, M.D., Vickers, D., & Brown, M. (1997). Neural network and tree search algorithms for the generation of pathfollowing 

(trail making) tests. Journal of Intelligent Systems, 7, 117‐143. 

3. Vickers, D., & Lee, M.D. (1997). Towards a dynamic connectionist model of memory. Behavioral and Brain Sciences, 

20, 40‐41. 

4. Lee, M.D. (1998). Neural feature abstraction from judgments of similarity. Neural Computation, 10, 1815‐1830. 

5. Vickers, D., & Lee, M.D. (1998). Dynamic models of simple judgments: I. Properties of a self‐regulating accumulator 

module. Non‐linear Dynamics, Psychology, and Life Sciences, 2, 169‐194. 

6. Vickers, D., & Lee, M.D. (1998). Never cross the path of a traveling salesman: The neural network generation of 

Halstead‐Reitan trail making tests. Behavior Research, Methods, Instruments, & Computers, 30, 423‐431. 

7. Lee, M.D. (1999). An extraction and regularization approach to additive clustering. Journal of Classification, 16, 255‐ 

281. 

8. Lee, M.D., & Vickers, D. (2000). The importance of the convex hull for human performance on the traveling salesman 

problem: Comment on Macgregor & Ormerod (1996). Perception & Psychophysics, 62, 226‐228. 

9. Vickers, D., & Lee, M.D. (2000). Dynamic models of simple judgments: II. Properties of a Parallel, Adaptive, 

Generalised Accumulator Network (PAGAN) model for multi‐choice tasks. Non‐linear Dynamics, Psychology, and Life 

Sciences, 4, 1‐31. 

10. Lee, M.D. (2001). On the complexity of additive clustering models. Journal of Mathematical Psychology, 45, 131‐148. 

11. Lee, M.D. (2001). Determining the dimensionality of multidimensional scaling models for cognitive modeling. Journal 

of Mathematical Psychology, 45, 149‐166. 

12. Lee, M.D. (2001). Extending Bayesian concept learning to deal with representational complexity and adaptation. 

Behavioral and Brain Sciences, 24, 685‐686. 

13. Vickers, D., Butavicius, M.A., Lee, M.D., & Medvedev, A. (2001). Human performance on visually presented traveling 

salesman problems. Psychological Research, 65, 34‐45. 

14. Lee, M.D. (2002). A simple method for generating additive clustering models with limited complexity. Machine 

Learning, 49, 39‐58. 

15. Lee, M.D. (2002). Generating additive clustering models with limited stochastic complexity. Journal of Classification, 

19, 69‐85. 

16. Lee, M.D., Loughlin, N., & Lundberg, I.B. (2002). Applying one reason decision making: The prioritization of literature 

searches. Australian Journal of Psychology, 54, 137‐143. 

17. Lee, M.D., & Navarro, D.J. (2002). Extending the ALCOVE model of category learning to featural stimulus domains. 

Psychonomic Bulletin & Review, 9, 43‐58. 

18. Lee, M.D., & Corlett, E.Y. (2003). Sequential sampling models of human text classification. Cognitive Science, 27, 159‐ 

193. 

19. Lee, M.D., & Pope, K.J. (2003). Avoiding the dangers of averaging across subjects when using multidimensional scaling. 

Journal of Mathematical Psychology, 47, 32‐46. 

20. Lee, M.D., Butavicius, M.A., & Reilly, R.E. (2003). Visualizations of binary data: A comparative evaluation. International 

Journal of Human‐Computer Studies, 59, 569‐602. 

21. Vickers, D., Bovet, P., Lee, M.D., & Hughes, P. (2003). The perception of minimal structures: Performance on open and 

closed versions of visually presented Euclidean Traveling Salesperson problems. Perception, 32, 871‐886. 

22. Vickers, D., Lee, M.D., Dry, M., & Hughes, P. (2003). The roles of the convex hull and number of intersections upon 

performance on visually presented traveling salesperson problems. Memory & Cognition, 31, 1094‐1104. 

23. Vickers, D., Mayo, T., Heitman, M., Lee, M.D., & Hughes, P. (2004). Intelligence and individual differences in 

performance on three types of visually presented optimisation problems. Personality and Individual Differences, 36, 

1059‐1071. 

24. Lee, M.D., & Cummins, T.D.R. (2004). Evidence accumulation in decision making: Unifying the ‘take the best’ and 

‘rational’ models. Psychonomic Bulletin & Review, 11(2), 343‐352. 

25. Lee, M.D. (2004). A Bayesian analysis of retention functions. Journal of Mathematical Psychology, 48, 310‐321. 

26. Navarro, D.J., & Lee, M.D. (2004). Common and distinctive features in stimulus representation: A modified version of 

the contrast model. Psychonomic Bulletin & Review, 11, 961–974. 

27. Lee, M.D., & Wagenmakers, E.J. (2005). Bayesian statistical inference in psychology: Comment on Trafimow (2003). 

Psychological Review, 112, 662‐668. 

28. Mackay, M., & Lee, M.D., (2005). Choice of models for the analysis and forecasting of hospital beds. Health Care 

Management Science Journal, 8, 221‐230. 

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29. Lee, M.D., & Webb, M.R. (2005). Modeling individual differences in cognition. Psychonomic Bulletin & Review, 12, 

605‐621. 

30. Vickers, D., Lee, M.D., Dry, M., Hughes, P., & McMahon, J.A. (2006). The aesthetic appeal of minimal structures: 

Judging the attractiveness of solutions to Traveling Salesperson problems. Perception & Psychophysics, 68, 32‐42. 

31. Navarro, D.J., Griffiths, T.L., Steyvers, M., & Lee, M.D. (2006). Modeling individual differences with Dirichlet processes. 

Journal of Mathematical Psychology, 50, 101‐102. 

32. Lee, M.D., & Pope, K.J. (2006). Model selection for the rate problem: A comparison of significance testing, Bayesian, 

and minimum description length statistical inference. Journal of Mathematical Psychology, 50, 193‐202. 

33. Lee, M.D. (2006). A hierarchical Bayesian model of human decision‐making on an optimal stopping problem. Cognitive 

Science, 30, 555‐580. 

34. Burns, N.R., Lee, M.D., & Vickers, D. (2006). Are individual differences in performance on perceptual and cognitive 

optimization problems determined by general intelligence? Journal of Problem Solving, 1, 5‐19. 

35. Dry, M.J., Lee, M.D., Vickers, D., & Hughes, P. (2006). Human performance on visually presented traveling salesperson 

problems with varying numbers of nodes. Journal of Problem Solving, 1, 20‐32. 

36. Lee, M.D., & Dry, M.J. (2006). Decision‐making and confidence given uncertain advice. Cognitive Science, 30, 1081‐ 

1095. 

37. Butavicius, M.A., & Lee, M.D. (2007). An empirical evaluation of four data visualization techniques for displaying short 

news text similarities. International Journal of Human‐Computer Studies, 65, 931‐944. 

38. Malhotra, V., Lee, M.D., & Khurana, A.K. (2007). Domain experts influence decision quality: Towards a robust method 

for their identification. Journal of Petroleum Science and Engineering, 57, 181‐194. 

39. Lee, M.D., & Paradowski, M.J. (2007). Group performance on an optimal stopping problem. Journal of Problem 

Solving, 1, 53‐73. 

40. Lee, M.D. (2008). Three case studies in the Bayesian analysis of cognitive models. Psychonomic Bulletin & Review, 15, 

1‐15. 

41. Fletcher, K.I., Butavicius, M.A., & Lee, M.D. (2008). Attention to internal features in unfamiliar face matching. British 

Journal of Psychology, 99, 379‐394. 

42. Lee, M.D. (2008). BayesSDT: Software for Bayesian inference with signal detection theory. Behavior Research 

Methods, 40, 450‐456. 

43. Lee, M.D., & Vanpaemel, W. (2008). Exemplars, prototypes, similarities and rules in category representation: An 

example of hierarchical Bayesian analysis. Cognitive Science, 32, 1403‐1424. 

44. Chronicle, E.P., MacGregor, J.N., Lee, M.D., Ormerod, T.C., & Hughes, P. (2008). Individual differences in optimization 

problem solving: Reconciling conflicting results. Journal of Problem Solving, 2, 41‐49. 

45. Dennis, S.J., Lee, M.D., & Kinnell, A. (2008). Bayesian analysis of recognition memory: The case of the list‐length effect. 

Journal of Memory and Language, 59, 361‐376. 

46. Shiffrin, R.M., Lee, M.D., Wagenmakers, E.‐J., & Kim, W.J. (2008). A survey of model evaluation approaches with a 

focus on hierarchical Bayesian methods. Cognitive Science, 32(8), 1248‐1284. 

47. Iverson, G.J., Lee, M.D., & Wagenmakers, E.‐J. (2009). prep misestimates the probability of replication. Psychonomic 

Bulletin & Review, 16, 424‐429. 

48. Steyvers, M., Lee, M.D., & Wagenmakers, E.‐J. (2009). A Bayesian analysis of human decision‐making on bandit 

problems. Journal of Mathematical Psychology, 53, 168‐179. 

49. Iverson, G.J., Lee, M.D., Zhang, S., & Wagenmakers, E.‐J. (2009). prep: An agony in five fits. Journal of Mathematical 

Psychology, 53, 195‐202. 

50. Sarnecka, B.W., & Lee, M.D. (2009). Levels of number knowledge in early childhood. Journal of Experimental Child 

Psychology, 103, 325‐337. 

51. Yi, S.K.M., Steyvers, M., & Lee, M.D. (2009). Modeling human performance in restless bandits using particle filters. 

Journal of Problem Solving, 2(2), 33‐53. 

52. Lee, M.D., & Sarnecka, B.W. (2010). A model of knower‐level behavior in number‐concept development. Cognitive 

Science, 34, 51‐67. 

53. Zeigenfuse, M.D., & Lee, M.D. (2010). Finding the features that represent stimuli. Acta Psychologica, 133, 283‐295. 

54. Iverson, G.J., Wagenmakers, E.‐J., & Lee, M. D. (2010). A model averaging approach to replication: The case of prep. 

Psychological Methods, 15, 172‐181. 

55. Iverson, G.J, Lee, M.D., & Wagenmakers, E.‐J. (2010). The random‐effects prep continues to mispredict the probability 

of replication. Psychonomic Bulletin & Review, 17, 270‐272. 

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56. Wetzels, R., Lee, M.D., & Wagenmakers, E.‐J. (2010). Bayesian inference using WBDev: A tutorial for social scientists. 

Behavior Research Methods, 42, 884‐897. 

57. Macguire, A.M., Humphreys, M.S., Dennis, S.J., & Lee, M.D. (2010). Global similarity accounts of embedded‐category 

designs: Test of the global matching models. Journal of Memory & Language, 63, 131‐148. 

58. Zeigenfuse, M.D., & Lee, M.D. (2010). A general latent‐assignment approach for modeling psychological 

contaminants. Journal of Mathematical Psychology, 54, 352‐362. 

59. Lee, M.D. (2010). Emergent and structured cognition in Bayesian models: Comment on Griffiths et al and McClelland 

et al. Trends in Cognitive Sciences, 14, 345‐346. 

60. Zhang, S., & Lee, M.D. (2010). Optimal experimental design for a class of bandit problems. Journal of Mathematical 


61. Vandekerckhove, J., Tuerlinckx, F., & Lee, M.D. (2011). Hierarchical diffusion models for two‐choice response time. 

Psychological Methods, 16, 44‐62. 

62. Lee, M.D., Zhang, S., Munro, M.N., & Steyvers, M. (2011). Psychological models of human and optimal performance 

on bandit problems. Cognitive Systems Research, 12, 164‐174. 

63. Lee, M.D. (2011). How cognitive modeling can benefit from hierarchical Bayesian models. Journal of Mathematical 


64. Pooley. J.P., Lee, M.D., & Shankle. W.R. (2011). Understanding Alzheimer's using memory models and hierarchical 

Bayesian analysis. Journal of Mathematical Psychology, 55, 47‐56. 

65. Lee, M.D., Zhang, S., & Shi, J. (2011). The wisdom of the crowd playing the Price is Right. Memory & Cognition, 39, 

914‐923. 

66. Lee, M.D., & Sarnecka, B.W. (2011). Number knower‐levels in young children: Insights from a Bayesian model. 

Cognition, 120, 391‐402. 

67. Wetzels, R., Matzke, D., Lee, M.D., Rouder, J.N., Iverson, G.J., & Wagenmakers, E.‐J. (2011). Statistical evidence in 

experimental psychology: An empirical comparison using 855 t‐tests. Perspectives in Psychological Science, 6, 291‐298 

68. Lee, M.D. (2011). In praise of ecumenical Bayes. Behavioral and Brain Sciences, 34, 206‐207. 

69. Newell, B.R., & Lee, M.D. (in press). The right tool for the job? Comparing an evidence accumulation and a naive 

strategy selection model of decision making. Journal of Behavioral Decision Making. 

70. Navarro, D.J., Dry, M.J., & Lee, M.D. (in press). Sampling assumptions in inductive generalization. Cognitive Science. 

71. Lodewyckx, T., Kim, W.‐J., Lee, M.D., Tuerlinckx, F., Kuppens, P., & Wagenmakers, E.‐J. (in press). A tutorial on Bayes 

Factor estimation with the product space method. Journal of Mathematical Psychology. 

72. Yi, S.K., Steyvers, M., Lee, M.D, & Dry, M.D. (in press). The wisdom of the crowd in combinatorial problems. Cognitive 

Science. 

73. Negen, J., Sarnecka, B.W., & Lee, M.D. (in press). An Excel sheet for inferring children's number‐knower‐levels from 

Give‐N data. Behavior Research Methods. 

74. Lee, M.D., & Newell, B.R. (in press). Using hierarchical Bayesian methods to examine the tools of decision‐making. 

Judgment and Decision Making. Accepted 19‐Sep‐2011. 

75. Lee, M.D., Steyvers, M., de Young, M., & Miller. B.J. (in press). Inferring expertise in knowledge and prediction ranking 

tasks. Topics in Cognitive Science. Accepted 4‐October‐2011. 

76. Shankle, W.R., Pooley, J.P., Steyvers, M., Hara. J., Mangrola, T., Reisberg, B., & Lee, M.D. (in press). Relating memory 

to functional capacity in normal aging to dementia using hierarchical Bayesian cognitive processing models. Alzheimer 

Disease & Associated Disorders. Accepted 31‐Dec‐2011. 

77. Shankle, W.R., Hara, J., Mangrola, T., Hendrix, S., Alva, G., & Lee, M.D. (in press). Hierarchical Bayesian cognitive 

processing models to analyze clinical trial data. Alzheimer's & Dementia. Accepted 3‐Feb‐2012. 

78. Butavicius, M.A., Lee, M.D., Pincombe, B.M., Mullen, L.G., Navarro, D.J., Parsons, K.M., & McCormac, A. (in press). An 

assessment of email and spontaneous dialogue visualizations. International Journal of Human‐Computer Studies. 

Accepted 4‐Feb‐2012. 

Refereed Conference Papers 

1. Lee, M.D. (1996). A neural network which [sic] learns psychological internal representations. Proceedings of the 1996 

Australian New‐Zealand Conference on Intelligent Information Systems, 182‐185. 

2. Lee, M.D. (1998). Interactive visualisation of similarity structures. In P. Calder and B.H. Thomas (Eds.), Proceedings of 

OZCHI 98, pp. 292‐299. Piscataway, NJ: IEEE. 

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3. Vickers, D., Navarro, D.J., & Lee, M.D. (2000). Towards a transformational approach to perceptual organization. In: R.J. 

Howlett & L.C. Jain (Eds.), KES 2000: Proceedings of the Fourth International Conference on Knowledge‐Based 

Intelligent Engineering Systems & Allied Technologies, Vol. 1, pp. 325‐328. Piscataway, NJ: IEEE. 

4. Lee, M.D. (2001). Fast text classification using sequential sampling processes. In M. Stumptner, D. Corbett, and M. 

Brooks (Eds.), AI 2001: Advances in Artificial Intelligence, Springer‐Verlag Lecture Notes on Artificial Intelligence, 2256, 

pp. 309‐320. Berlin: Springer‐Verlag. 

5. Navarro, D.J., & Lee, M.D. (2001). Clustering using the contrast model. In J.D. Moore & K. Stenning, (Eds.), Proceedings 

of the 23rd Annual Conference of the Cognitive Science Society, pp. 686‐691. Mahwah, NJ: Erlbaum. 

6. Lee, M.D., Chandrasena, L.H., & Navarro, D.J. (2002). Using cognitive decision models to prioritize e‐mails. In W.G. 

Gray & C. D. Schunn, (Eds.), Proceedings of the 24th Annual Conference of the Cognitive Science Society, pp. 478‐483. 

Mahwah, NJ: Erlbaum. 

7. Navarro, D.J., & Lee, M.D. (2002). Commonalities and distinctions in featural stimulus representations. In W.G. Gray & 

C. D. Schunn, (Eds.), Proceedings of the 24th Annual Conference of the Cognitive Science Society, pp. 685‐690. 

Mahwah, NJ: Erlbaum. 

8. Lee, M.D., Reilly, R.E., & Butavicius, M.A. (2003). An empirical evaluation of Chernoff faces, star glyphs, and spatial 

visualizations for binary data. In T. Pattison & B. Thomas, (Eds.), Proceeding of the Australian Symposium on 

Information Visualisation, pp. 1‐10. Sydney: Australian Computer Society Inc. 

9. Navarro, D.J., & Lee, M.D. (2003). Combining dimensions and features in similarity‐based representations. In S. 

Becker, S. Thrun and K. Obermayer (Eds.), Advances in Neural Information Processing Systems 15, pp. 59‐66. 

Cambridge, MA: MIT Press. 

10. Lee, M.D. (2004). An efficient method for the minimum description length evaluation of cognitive models. In K. 

Forbus, D. Gentner & T. Regier, (Eds.), Proceedings of the 26th Annual Conference of the Cognitive Science Society, pp. 

807‐812. Mahwah, NJ: Erlbaum. 

11. Webb, M.R., & Lee, M.D. (2004). Modeling individual differences in category learning. In K. Forbus, D. Gentner & T. 

Regier, (Eds.), Proceedings of the 26th Annual Conference of the Cognitive Science Society, pp. 1440‐1445. Mahwah, 

NJ: Erlbaum. 

12. Lee, M.D., O’Connor, T.A., & Welsh, M.B. (2004). Decision‐making on the full‐information secretary problem. In K. 

Forbus, D. Gentner & T. Regier, (Eds.), Proceedings of the 26th Annual Conference of the Cognitive Science Society, pp. 


13. Malhotra, V., Lee, M.D., & Khurana, A.K. (2004). Decisions and uncertainty management: Expertise Matters. SPE paper 

88511 in Proceedings of the 2004 SPE Asia Pacific Oil and Gas Conference and Exhibition. Perth, Australia: SPE. 

14. Welsh, M.B., Begg, S.H., Bratvold, R.B., & Lee, M.D. (2004). Problems with the elicitation of uncertainty. SPE paper 

90338 in Proceedings of the 80th Annual Technical Conference and Exhibition of the Society of Petroleum Engineers. 

Richardson, TX: SPE. 

15. Lee, M.D., Pincombe, B.M., & Welsh, M.B. (2005). An empirical evaluation of models of text document similarity. In 

B.G. Bara, L.W. Barsalou & M. Bucciarelli, (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science 

Society, pp. 1254‐1259. Mahwah, NJ: Erlbaum. 

16. Navarro, D.J., Griffiths, T.L., Steyvers, M., & Lee, M.D. (2005). Modeling individual differences with Dirichlet processes 

In B.G. Bara, L.W. Barsalou & M. Bucciarelli, (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science 

Society, pp. 1594‐1599. Mahwah, NJ: Erlbaum. 

17. Navarro, D.J., Lee, M.D., & Nikkerud, H. (2005). Learned categorical perception for natural faces. In B.G. Bara, L.W. 

Barsalou & M. Bucciarelli, (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society, pp. 


18. Navarro, D.J., & Lee, M.D. (2005). An application of minimum description length clustering to partitioning learning 

curves. Proceedings of the 2005 IEEE International Symposium on Information Theory, pp. 587‐591. Piscataway, NJ: 

IEEE. 

19. Lee, M.D., Vast, R.L., & Butavicius, M.A. (2006). Face matching under time pressure and task demands. In R. Sun (Ed.), 

Proceedings of the 28th Annual Conference of the Cognitive Science Society, pp. 1675‐1680. Mahwah, NJ: Erlbaum. 

20. Campbell, J., & Lee, M.D. (2006). The effect of feedback and financial reward on human performance solving 

`secretary' problems. In R. Sun (Ed.), Proceedings of the 28th Annual Conference of the Cognitive Science Society, pp. 


21. Mackie, S.I., Welsh, M.B., & Lee, M.D. (2006). An oil and gas decision‐making taxonomy. SPE paper 100699 in 

Proceedings of the 2006 SPE Asia Pacific Oil and Gas Conference and Exhibition. Adelaide, Australia: SPE. 

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22. Lee, M.D., Fuss, I.G, & Navarro, D.J. (2006). A Bayesian approach to diffusion models of decision‐making and response 

time. In B. Schölkopf, J.C. Platt, & T. Hoffman (Eds.), Advances in Neural Information Processing Systems 19, pp. 809‐ 

815. Cambridge, MA: MIT Press. 

23. Vanpaemel, W., & Lee, M.D. (2007). A model of building representations for category learning. In D. McNamara and 

G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 1605‐1610. Austin, 

TX: Cognitive Science Society. 

24. Newell, B.R., Collins, P., & Lee, M.D. (2007). Adjusting the spanner: Testing an evidence accumulation model of 

decision making. In D. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive 

Science Society, pp. 535‐538. Austin, TX: Cognitive Science Society. 

25. Navarro, D.J, Lee, M.D., Dry, M.J, & Schultz, B. (2008). Extending and testing the Bayesian theory of generalization. In 

V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, 

pp. 1746‐1751. Austin, TX: Cognitive Science Society. 

26. Zeigenfuse, M.D., & Lee, M.D. (2008). Finding feature representations of stimuli: Combining feature generation and 

similarity judgment tasks. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the 

Cognitive Science Society, pp. 1825‐1830. Austin, TX: Cognitive Science Society. 

27. Vandekerckhove, J., Tuerlinckx, F., & Lee, M.D. (2008). A Bayesian approach to diffusion process models of decisionmaking. 

In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science 

Society, pp. 1429‐1434. Austin, TX: Cognitive Science Society. 

28. Welsh, M.B., Lee, M.D., & Begg, S.H. (2008). More‐Or‐Less Elicitation (MOLE): Testing a heuristic elicitation model. In 

V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, 


29. Rubin, T.N., Lee, M.D., & Chubb, C.F. (2008). Hierarchical Bayesian modeling of individual differences in texture 

discrimination. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive 


30. Lee, M.D., & Habibi, A. (2009). A cyclic sequential sampling model of bistable auditory perception. In N. Taatgen, H. 

van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science 


31. Pooley, J.P., Lee, M.D., & Shankle, W.R. (2009). Recognition memory deficits in Alzheimer's disease: Modeling clinical 

groups and individual patients. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st 

Annual Conference of the Cognitive Science Society, pp. 2849‐2954. Austin, TX: Cognitive Science Society. 

32. Zeigenfuse, M.D., & Lee, M.D. (2009). Bayesian nonparametric modeling of individual differences: A case study using 

decision‐making on bandit problems. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of 

the 31st Annual Conference of the Cognitive Science Society, pp. 1412‐1415. Austin, TX: Cognitive Science Society. 

33. Welsh, M.B., Lee, M.D., & Begg, S.H. (2009). Repeated judgments in elicitation tasks: Efficacy of the MOLE method. In 

N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the 

Cognitive Science Society, pp. 1529‐1534 Austin, TX: Cognitive Science Society. 

34. Newell, B.R., & Lee, M.D. (2009). Learning to adapt evidence thresholds in decision making. In N. Taatgen, H. van Rijn, 

J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, pp. 

473‐478. Austin, TX: Cognitive Science Society. 

35. Dry, M.J., Navarro, D.J., Preiss, A.K., & Lee, M.D. (2009). The perceptual organization of point constellations. In N. 

Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive 


36. Lee, M.D., Grothe, E., & Steyvers, M. (2009). Conjunction and disjunction fallacies in prediction markets. In N. Taatgen, 

H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science 


37. Lee, M.D., Zhang, S., Munro. M.N., & Steyvers, M. (2009). Using heuristic models to understand human and optimal 

decision‐making on bandit problems. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on 

Cognitive Modeling – ICCM2009, Manchester, UK. 

38. Miller, B., Hemmer, P., Steyvers, M., & Lee, M.D. (2009). The wisdom of crowds in rank ordering problems. In A. 

Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, 

UK. 

39. Zhang, S., Lee, M.D., & Munro. M.N. (2009). Human and optimal exploration and exploitation in bandit problems. In A. 

Howes, D. Peebles, & R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, 

UK. 

6


40. Steyvers, M., Lee, M.D., Miller, B., & Hemmer, P. (2009). The wisdom of crowds in the recollection of order 

information. In J. Lafferty, & C. Williams (Eds.), Advances in Neural Information Processing Systems, 23, 1785‐1793. 

Cambridge: MA: MIT Press. 

41. Stephens, R.G., Navarro, D.J., Dunn, J.C., & Lee, M.D. (2009). The effect of causal strength on the use of causal and 

similarity‐based information in feature inference. In ASC09: Proceedings of the 9th Conference of the Australasian 

Society for Cognitive Science. Edited by Wayne Christensen, Elizabeth Schier, and John Sutton. Sydney: Macquarie 

Centre for Cognitive Science. 

42. Lee, M.D., & Shi, J. (2010). The accuracy of small‐group estimation and the wisdom of crowds. In R. Catrambone, & S. 

Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 1124‐1129. Austin, TX: 

Cognitive Science Society. 

43. Lee, M.D., & Wetzels, R. (2010). Individual differences in attention during category learning. In R. Catrambone, & S. 



44. Zhang, S., & Lee, M.D., (2010). Cognitive models and the wisdom of crowds: A case study using the bandit problem. In 

R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 

1118‐1123. Austin, TX: Cognitive Science Society. 

45. Zeigenfuse, M.D., & Lee, M.D. (2010). Heuristics for choosing features to represent stimuli. In R. Catrambone, & S. 



46. Pooley, J.P., Lee, M.D., & Shankle, W.R. (2010). Modeling change in recognition bias with the progression of 

Alzheimer's. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive 


47. Yi, S.K., Steyvers, M., Lee, M.D., & Dry, M.J. (2010). Wisdom of the crowds in minimum spanning tree problems. In R. 

Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 

1124‐1129 Austin, TX: Cognitive Science Society. 

48. Zhang, S, Lee, M.D., Yu, M., & Xin, J. (2011). Modeling category identification using sparse instance representation. In 

L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science 


49. Zeigenfuse, M.D., & Lee, M.D. (2011). A comparison of three measures of the association between a feature and a 

concept. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive 


50. Lee, M.D., Steyvers, M., de Young, M., & Miller, B. (2011). A model‐based approach to measuring expertise in ranking 

tasks. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive 


51. Pooley, J.P., Lee, M.D., & Shankle, W.R. (2011). Modeling multitrial free recall with unknown rehearsal times. In L. 

Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 


Book Chapters 

1. Lee, M.D., & Navarro, D.J. (2005). Minimum description length and psychological clustering models. In P.D. Grünwald, 

I.J. Myung and M.A. Pitt (Eds.), Advances in Minimum Description Length: Theory and Applications, pp. 355‐384. 

Cambridge, MA: MIT Press. 

2. Wagenmakers, E.‐J., Lee, M. D., Lodewyckx, T., & Iverson, G. (2008). Bayesian versus frequentist inference. In H. 

Hoijtink, I. Klugkist, and P. Boelen (Eds.), Practical Evaluation of Informative Hypotheses, pp. 181‐207. Springer: New 

York. 

3. Lee, M.D., Loughlin, N., & Lundberg, I. (2011). Applying one‐reason decision‐making: The prioritization of literature 

searches. In G. Gigerenzer, R. Hertwig, and T. Pachur (Eds.), Heuristics: The Foundations of Adaptive Behavior. Oxford 

University Press. (Reprinted from Australian Journal of Psychology, 54, 137‐143). 

4. Butavicius, M.A. & Lee, M.D. (2011). An empirical evaluation of four data visualization techniques for displaying short 

news text similarities. In R. Dale, D. Burnham, & C.J. Stevens (Eds.), Human Communication Science: A Compendium, 

pp. 125‐148. Sydney: ARC Research Network in Communication Science. (Reprinted from International Journal of 

Human‐Computer Studies, 65 (11), 931‐944). 

7


Research Reports 

1. Lee, M.D., & Vickers, D. (1998). Psychological approaches to data visualisation. Defence Science and Technology 

Organisation Research Report, DSTO‐RR‐0135. 

2. Lee, M.D. (1999). Algorithms for representing similarity data. Defence Science and Technology Organisation Research 

Report, DSTO‐RR‐0152. 

3. Dry, M., Lee, M.D., Vickers, D., & Huf, S. (2005). Psychological implications for submarine display design. Defence 

Science and Technology Organisation Technical Report, DSTO‐TR‐1766. 

Book Reviews 

1. Lee, M.D. (2002). Book review of R. Decker and W. Gaul, Eds., Classification and Information Processing at the Turn of 

the Millenium. Journal of Classification, 19(1), 183‐186. 

Other 

1. Obituary for Professor Douglas Vickers, The Advertiser, Saturday 18 th December, 2004, p. 80. 

2. Obituary for Professor Douglas Vickers, The Adelaidean, Volume 13, Number 11, December 2004, p. 12. (with T. 

Nettelbeck) 

Funding 

United States Competitive Research Grants 

1. US Air Force Office of Scientific Research, 2007‐2009: “Modeling exploration and exploitation in structured 

environments” (Principal Investigator with M. Steyvers). Total AFOSR Contribution US$456K. Supplemental funding of 

$67K awarded for 2008. 

2. Alzheimer’s Association: 2008‐2009. “Bayesian methods for the detection, diagnosis and treatment of Alzheimer's”. 

(Principal Investigator). Total Alzheimer’s Association Contribution US$87K. 

3. Applied Research Associates, via IARPA, 2011‐2012: ''Aggregate Contingent Estimation (ACE) Program”. Total $293K. 

(with M. Steyvers and W. Batchelder). 

4. US Air Force Office of Scientific Research, 20011‐2013: “Sequential sampling models of adaptive human decisionmaking”. 

Total AFOSR Contribution $222K. 

Australian Competitive Research Grants 

1. ARC Large Grant, 2001‐2002: “Adding content to models of Human Memory “ (Partner Investigator with S. Dennis, P. 

Kwantes, D.J.K. Mewhort, and D. Nelson). Total ARC Contribution A$84K. 

2. ARC Discovery Project, 2002‐2003: “Evaluating models of category learning that use general feature‐based 

representations”. Sole Chief Investigator. Total ARC contribution A$45K. 

3. ARC Discovery Project, 2002‐2003: “A generative transformational theory of perception” (Chief Investigator with D. 

Vickers). Total ARC contribution A$77K. 

4. ARC Linkage International Project, 2003‐2005: “A unified theory of performance in absolute identification tasks” 

(Chief Investigator with D. Vickers P. Smith, and A. Heathcote, and A.A.J. Marley as Visiting Scholar). Total ARC 

contribution A$39K. 

5. ARC Linkage Infrastructure Project, 2004: “South Australian Virtual Reality Centre (SAVRC)” (with multiple 

participants, headed by A. Khurana). Total facility cost $1.9M. Total ARC contribution A$696K. 

6. ARC Discovery Project, 2004‐2006: “Extending cognitive models to account for individual differences”. (Chief 

Investigator with D. Navarro as APD fellow). Total ARC contribution A$219K. 

7. ARC Linkage Project, 2004‐2006: “Human decision‐making processes and outcomes in the oil and gas industry” (Chief 

Investigator with S. Begg and R. Bratvold). Total ARC contribution A$142K. 

8. ARC Linkage Project, 2005‐2006: “Psychological User Profiling in the Telecommunications Industry ” (Chief 

Investigator with D. Navarro and M. Maio Mackay). Total ARC contribution A$150K. 

9. Australian Research Council, 2011‐2013: “Toward a unified account of adaptive decision making: learning to search, 

stop and decide”. Total ARC Contribution A$220K. (with Ben Newell). 

8


University of Adelaide Competitive Research Grants 

1. 2002. University of Adelaide, Faculty of Health Sciences, Small Grants Scheme. “The prioritisation of literature 

searches”. Total awarded A$10K. 

2. 2003: University of Adelaide, Faculty of Health Sciences, Small Grants Scheme. “Problem solving and intelligence” 

(with N. Burns and D. Vickers). Total awarded A$10K. 

Industry Research Contracts 

1. 2001: “The visualisation of similarity structure”, Communications Divison, DSTO. Total A$10K. 

2. 2001‐2002: “Information prioritisation and text classification”, Information Technology Divison, DSTO. Total A$50K. 

3. 2001‐2002: “Predicting and optimising skill retention,” (with D. Vickers), Land Operations Divison, DSTO. Total A$32K. 

4. 2002‐2003: “2D and 3D visualisation techniques to support submarine operations” (with D. Vickers), Maritime 

Operations Divison, DSTO. Total A$22K. 

5. 2002‐2003: “Modelling document classification and the validity of machine measurements of document similarity”, 

Information Surveillance and Reconnaissance Divison, DSTO. Total A$30K. 

6. 2003: “Comparison of machine and human judgements of relevance”, Information Surveillance and Reconnaissance 

Divison, DSTO. Total A$30K. 

7. 2004: “Human and machine judgments on spontaneous speech”, Information Surveillance and Reconnaissance 

Divison, DSTO. Total A$22K. 

8. 2002‐2005: “Affective and cognitive trust for information provided by Avatars”, Command and Control Division, DSTO. 

Total A$55K. 

9. 2004‐2007: PhD Scholarship “Visualisation of uncertainty”, Maritime Operations Divison, DSTO. Total A$35K. 

10. 2005: “Decision‐making and language processing”, Command and Control Division, DSTO. Total A$30K. 

Fellowships and Consultancies 

1. 2003: “Decision‐Making Workshop”, Defence Science and Technology Organisation. Total A$1.5K. 

2. 2004: “Psychology Teaching Demonstration Software”, Secondary School Assessment Board of South Australia. Total 

A$0.2K. 

3. 2009‐2010: “Generalized sequential sampling models of decision‐making”. University of Leuven KULeuven/BOF Senior 

Fellowship SF/08/015. Total €5000. 

Research Supervision 

University of California, Irvine, Graduate Students 

1. Matthew Zeigenfuse, 2006‐2010. 

2. Shunan Zhang, 2007‐present. 

3. James Pooley, 2008‐present. 

University of California, Irvine, Advancement Committees 

1. Julie Kwak, 2006. 

2. Daniel Cavagnaro, 2007. 

3. Brendan Purdy, 2007. 

4. Mike Yi, 2007. 

5. Emily Slusser, 2008. 

6. Matthew Zeigenfuse, 2008 (chair). 

7. Shunan Zhang, 2009 (chair). 

8. Tim Rubin, 2009. 

9. Ben Mis, 2010. 

10. Sean Tauber, 2010. 

11. Brian Marion, 2010. 

12. Royce Anders, 2011. 

13. James Pooley, 2011 (chair). 

14. Negar Sammaknejad, 2011. 

15. Brent Miller, 2011. 

16. Sam Thorpe, 2011. 

9


University of California, Irvine, Defense Committees 

1. Daniel Cavagnaro, 2007. 

2. Jared Smith, 2008. 

3. Brendan Purdy, 2008. 

4. Julie Kwak, 2009. 

5. Emily Slusser, 2010. 

6. Matthew Zeigenfuse, 2010 (chair). 

7. Pernille Hemmer, 2011. 

8. Mike Yi, 2011. 

University of California, Irvine, International Research Students 

1. Ruud Wetzels, 2008, University of Amsterdam. 

2. Annelies Bartlema, 2010, University of Leuven. 

University of Adelaide Doctor of Philosophy 

1. Daniel Navarro, 2000‐2002: “Representing stimulus similarity” (with D. Vickers). 

2. Margaret Chandler, 2002‐2006: “Developmental processes in problem solving” (with D. Vickers and N. Burns). 

3. Mark Mackay, 2002‐2006: “Complexity and modelling hospital bed occupancy” (with P. Millard, University College 

London). 

4. Matthew Dry, 2003‐2006: “Detection of structure in visual arrays” (with D. Vickers and N. Burns). 

5. Jason MacPherson, 2003‐2006: “Computer games for assessing intelligence” (with N. Burns). 

6. Andrew Brolese, 2004‐2006: “Visualisation of uncertainty” (with N. Burns and S. Huf, DSTO). 

7. Vinod Malhotra, 2003‐2006: “The technical, business and psychological aspects of decision‐making in the oil and 

petroleum industry” (with A. Khurana). 

8. Ben Stone, 2004‐2006: “Decision‐making in web‐based environments”. (with S. Dennis) 

9. Steve Mackie, 2004‐2006: “Human decision‐making processes and outcomes under uncertainty in the upstream oil 

and gas industry”. (with S. Begg and R. Bratvold) 

10. Kym Preiss, 2004‐2006: “A theoretical and computational investigation into aspects of human visual perception: 

Proximity and transformations in pattern detection and discrimination” (with N. Burns) 

University of Adelaide Masters by Research 

1. Michael Webb, 2001‐2006: “Adaptive models of categorisation” (with D. Vickers). 

University of Adelaide Masters by Coursework 

1. Robyn Vast, 2004: “Face recognition under time and memory pressure”. 

2. Stephen Kohl, 2003: “A theoretical analysis of the ‘QuickEst’ fast and frugal heuristic”. 

3. Jock Duncan, 2003: “Rational and heuristic models for personnel selection” (with P. Delfabbro). 

University of Adelaide Honours in Psychology 

1. Elissa Corlett, 2001: “A psychological model of human text classification” 

2. Matthew Dry, 2002: “A generative transformational approach to the detection of structure in Glass patterns” (with D. 

Vickers). 

3. Therese Mayo, 2002: “Individual differences on the Travelling Salesperson Problem” (with D. Vickers). 

4. Chloë Mount, 2003: “Individual differences on the Secretary Problem” 

5. Hannah Nikkerud, 2003: “Learned categorical perception for faces” 

6. Renée Petrilli, 2003: “Alertness, sustained attention and perception during 24 hours of wakefulness: The effects of 

fatigue and functional energy drinks on human decision‐making” (with D. Vickers). 

7. Michael Paradowski, 2003: “Theory and empirical evaluation of dynamic displays for a real‐world monitoring task” 

(with D. Vickers) 

8. Steven Jeffs, 2004: “Correcting errors in memory” (with G. Smith, DSTO). 

9. James Campbell, 2005: “Learning on the Secretary Problem” 

10. Kingsley Fletcher, 2005: “The role of facial features in identification performance” (with M. Butavicius, DSTO). 

10


11. Melinda Stanners, 2005: “Decision‐making on the Monty Hall problem”, (with G. Smith, DSTO). 

Teaching 

University of California, Irvine, Undergraduate Level 

Course Evaluation scores lie on a seven‐point scale (1=worst, 7=best); Mean scores for the summary measure “Teaching 

Effectiveness” are shown following every evaluated course. 

2007, Winter: PSYCH 111BW Advanced Experimental Psychology (Mean Evaluation 6.43); PSYCH 112BW Honors Advanced 

Experimental Psychology (Mean Evalution 6.70) 

2007, Spring: PSYCH 111C Advanced Experimental Psychology (Mean Evaluation 6.52); PSYCH 112C Honors Advanced 

Experimental Psychology (Mean Evaluation 6.67) 

2008, Winter: PSYCH 111BW Advanced Experimental Psychology (Mean Evaluation 6.10); PSYCH 112BW Honors Advanced 

Experimental Psychology (Mean Evalution 6.10) 

2008, Spring: PSYCH 111C Advanced Experimental Psychology (Mean Evaluation 6.54); PSYCH 112C Honors Advanced 

Experimental Psychology (Mean Evaluation 6.20) 

2009, Spring: PSYCH 111C Advanced Experimental Psychology; PSYCH 112C Honors Advanced Experimental Psychology 

2009, Winter: PSYCH 111BW Advanced Experimental Psychology; PSYCH 112BW Honors Advanced Experimental 

Psychology 


Psychology 



Psychology 


University of California, Irvine, Graduate Level 

2007, Spring: PSYCH 237A Cognitive Modeling (Mean Evaluation 7.00) 

2008, Spring: PSYCH 237A Decision‐Making and Problem‐Solving (Mean Evaluation 6.40) 

2009, Spring, PSYCH 214: Bayesian Cognitive Modeling; PSYCH 237 Advanced Bayesian Cognitive Modeling 

2010, Spring, PSYCH 214: Bayesian Cognitive Modeling; PSYCH 237 Advanced Bayesian Cognitive Modeling 

2011, Spring, PSYCH 214: Bayesian Cognitive Modeling 

2012, Fall, PSYCH 214: Bayesian Cognitive Modeling; PSYCH 237 Advanced Bayesian Cognitive Modeling 

University of Adelaide Undergraduate 

Student Evaluations of Learning and Teaching (SELT) scores lie on a seven‐point scale (1=worst, 7=best); Mean SELT scores 

are shown following every evaluated course. 

2001: Cognition I (Mean SELT 5.5); Decision Making II (Mean SELT 5.5); Perception II (Mean SELT 5.5); Connectionism III 

(Mean SELT 5.4) 

2002: Cognition I (Mean SELT 5.8); Decision Making II (Mean SELT 6.0); Perception II (Mean SELT 6.0); Connectionism III 

2003: Cognition I (Mean SELT 5.8); Perception II; Bayesian Statistics III (Mean SELT 6.3) 

2004: Perception II; Bayesian Statistics III 

2005: Decision‐Making II (Mean SELT 6.1); Bayesian Statistics III 

University of Adelaide Postgraduate 

Student Evaluations of Learning and Teaching (SELT) scores lie on a seven‐point scale (1=worst, 7=best); Mean SELT scores 

are shown following every evaluated course. 

2001: Cognition and Applied Decision Making, Honours (Mean SELT 6.4) 

2002: Cognition and Applied Decision Making, Honours (Mean SELT 6.1); Applied Cognitive Psychology, Masters; Decision 

Making in Real Environments, Masters 

11


2003: Cognition and Applied Decision Making, Honours; Applied Cognitive Psychology, Masters; Decision Making in Real 

Environments, Masters (Mean SELT 6.7) 

2004: Applied Cognitive Psychology 

Service 

Academic 

1997‐present: Ad‐hoc reviewer for Acta Psychologica, Behavior Research Methods, Cognition, Journal of Classification, 

Journal of Experimental Psychology: Learning, Memory & Cognition, Journal of Memory and Language, Memory & 

Cognition, Neural Computation, Neural Information Processing Systems, Nonlinear Dynamics, Psychology, and Life 

Sciences, Perception & Psychophysics, Psychological Bulletin, Psychological Review, Psychological Methods, Science. 

2002‐present: Ad‐hoc reviewer for USA National Science Foundation awards. 

2003‐2006: Australian Research Council Expert Reviewer of International Standing. 

2003‐2008: Editorial board of Cognitive Science. 

2003‐2010: Consulting editor for Psychonomic Bulletin & Review. 

2005‐present: Editorial board of Journal of Problem‐Solving. 

2005: Chair of organising committee for the 12th Australian Mathematical Psychology Conference. 

2005: Member of organising committee and academic program chair for the 29th Australasian Experimental Psychology 

Conference. 

2005‐2006: Ad‐hoc reviewer for Australian National Health and Medical Research Council Grants. 

2006‐present: Action editor for Journal of Mathematical Psychology. 

2007‐present: Program Chair, Annual Meeting of the Cognitive Science Society. 

2007‐present: Reviewer for Air Force Office of Scientific Research proposals. 

2007‐present: Executive Board Member of Society for Mathematical Psychology. 

2007: Member of organizing committee for the 2007 Annual Meeting of the Society for Mathematical Psychology. 

2008‐2010: Action editor for Cognitive Science. 

2008‐2010: Guest editor with D. Navarro and G. Storms of special issue of Acta Psychologica. 

2009‐2010: President, Society for Mathematical Psychology. 

2009‐2010: NSF grant panelist, Measurement Methodology and Statistics. 

2009‐2010: Guest editor of special issue of Journal of Mathematical Psychology. 

2009‐present: Consulting editor for Behavior Research Methods. 

2010‐present: Editorial Board, Psychological Review. 

University of California, Irvine 

2006‐2007: Member of Department of Cognitive Science Job Search Committee 

2007‐present: Member of Executive Committee, Institute for Mathematical and Behavioral Sciences 

2009‐2010: Honors Psychology Program Coordinator. 

2010‐2012: Chair, Department of Cognitive Sciences 

Department of Psychology, University of Adelaide 

2001: Member of Departmental Research and Development Committee 

2002: Convenor of Departmental Research and Development Committee; Member of Departmental Executive Committee 

2003: Convenor of Departmental Research and Development Committee; Member of Departmental Executive Committee; 

Member of Departmental Postgraduate Studies Committee; Ad‐hoc member of Departmental Human Ethics 

Subcommittee 

University of Adelaide 

2003: Member of Graduate Institute for Defence Science Working Party; Advisory Committee for the South Australian 

Virtual Reality Centre; Representative on SA Government Galvanising Leadership Talent course; Co‐founder of the 

University’s Cognitive Research Discussion group; Co‐founder of the national special interest group in Health Care 

Modelling. 

12


2004: Advisory Committee for the South Australian Virtual Reality Centre; Member of Defence and Security Cluster 

Working Group; Member of Adelaide Research and Innovation Users’ Group. 

2005: Human sciences representative on University of Adelaide Defence and Security Research Cluster. 

Community 

2001: Presenter to secondary school students on the SIEMENS program. 

2002: Presenter to secondary school students on the SIEMENS program. 

2003: Presenter to secondary school students on the EDS Information Technology program. 

2004: Presenter to secondary school students on the SIEMENS program; Presenter to secondary school teachers on SACE 

cognition curriculum; Media interview for LUMEN magazine; Media story in DSTO Connections Magazine. 

2005: Keynote speaker at Mathematics Society of South Australia Secondary School Prize‐Giving Ceremony. 

2007: Article in Orange County Register, Air Force gives UC Irvine $456,000 to study how people make decisions, March 27, 

2007 

2009: Article in MindOpen, Bayes’ Mathematical Creed, Autumn 2009, Number 4 

2011: School of Social Sciences Expert Speaker Series, Coping with Information Overload 

13

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