Curriculum Vitae Solve Sæbø - UMB
Curriculum Vitae Solve Sæbø - UMB
Curriculum Vitae Solve Sæbø - UMB
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<strong>Curriculum</strong> <strong>Vitae</strong><br />
<strong>Solve</strong> <strong>Sæbø</strong><br />
Education<br />
Master (Cand. Scient.) in applied statistics at NLH, 1999.<br />
Thesis: Rekursiv prediksjon- med anvendelse på plantevekst/Recursive prediction with<br />
application to plant growth.<br />
PhD (Dr. Scient.) in applied statistics at NLH, March 2004.<br />
PhD-Project: Healthy cow – dairy cattle records - a tool for improved animal health financed<br />
by the Norwegian Research Council.<br />
Thesis: Analyzing survival data on dairy cattle – Some new methods and applications.<br />
Work experience<br />
Nov 2008 - : Associate Professor, IKBM, <strong>UMB</strong> at Group for Biostatistics<br />
August 2007 – Nov 2008 : Researcher at IKBM, <strong>UMB</strong> at Group for Biostatistics.<br />
March 2004 – July 2007 : Postdoc at IKBM, <strong>UMB</strong> at the FUGE-project:<br />
Development of a stable and robust assay for early detection of<br />
breast cancer using gene expression technology and peripheral<br />
blood sample''.<br />
Teaching experience<br />
- Introduction to statistics (STAT100) at IKBM, <strong>UMB</strong> (2010,2011, 2012)<br />
- Theoretical Statistics (STAT360) at IKBM, <strong>UMB</strong>, (2007, 2010, 2012)<br />
- Statistical programming in R (STIN300) at IKBM, <strong>UMB</strong>, (2010, 2012)<br />
- Analysis of variance and design of experiments (STAT310) at IKBM, <strong>UMB</strong> (2009,<br />
2011)<br />
- Statistical data analysis (STAT300) at IKBM, <strong>UMB</strong>, (2006, 2009)<br />
- Regression Analysis (STAT200) at IMF, NLH, (2002)<br />
- Computer intensive statistical methods (STAT-IN240) at IMF, NLH, (2002)<br />
- Time series (STAT230) at IMF, NLH, spring (2001)<br />
- Other: Invited teacher in Bayesian statistics in STAT260 autumns (2001, 2002), and in<br />
Bayesian statistics and Markov Chain Monte Carlo (MCMC)-methods in<br />
STAT-IN 340 at <strong>UMB</strong>, (2005, 2006)<br />
Awards<br />
- Teaching award (Based on student evaluations) for the course STIN300 – Statistical<br />
programming in R, spring 2010 and spring 2012.<br />
- Teaching award (Based on student evaluations) for the course STAT100 –<br />
Introduction to statistics, autumn 2010.
Publications<br />
Papers in international and national journals and book chapters<br />
Mehmood, T., Liland, K.H., Snipen, L., <strong>Sæbø</strong>, S. A Review of Variable Selection Methods<br />
in Partial Least Squares Regression. Chemometrics and Intelligent Laboratory Systems<br />
(accepted).<br />
Karlsson, M.K., Lönneborg, A. and <strong>Sæbø</strong>, S. Microarray based prediction of Parkinson’s<br />
Disease using clinical data as additional response variables. Statistics in Medicine<br />
(accepted).<br />
Mehmood, T, Bohlin, J., Kristoffersen, A.B., <strong>Sæbø</strong>, S., Warringer, J. and Snipen, L.<br />
(2012) Exploration of multivariate analysis in microbial coding sequence modeling. BMC<br />
Bioinformatics (accepted).<br />
Ordiz, A., Støen, O.-G., <strong>Sæbø</strong>, S., Kindberg, J., Delibes, M. and Swenson, J.E. (2012). Do<br />
bears know they are being hunted? Biological Conservation (Accepted).<br />
Helland, I., <strong>Sæbø</strong>, S and Tjelmeland, H. (2012) Near optimal prediction from relevant<br />
components. (Accepted Scandinavian Journal of Statistics, doi: 10.1111/j.1467-<br />
9469.2011.00770.x).<br />
Isaeva, J., Martens, M., <strong>Sæbø</strong>, S., Wyller, J.A. and Martens H. (2012) The modelome of<br />
curvature. Many nonlinear models approximated by a single bi-linear metamodel with<br />
verbal profiling. Physica D, 21(9), 877-889.<br />
Overgaard, H., <strong>Sæbø</strong>, S., Reddy, M.R., Abaga, S., Matias, A., Slotman, M.A. (2012) Light<br />
traps fail to estimate reliable malaria mosquito biting rates on Bioko Island, Equatorial<br />
Guinea. Malaria Journal, 11:56.<br />
Mehmood T, Martens H, <strong>Sæbø</strong> S, Warringer J and Snipen L (2011). A Partial Least<br />
Squares based algorithm for parsimonious variable selection. Algorithms for Molecular<br />
Biology, 6:27.<br />
Dørum, G., Snipen, L., Solheim, M. and <strong>Sæbø</strong>, S. (2011) Smoothing gene expression<br />
data with network information improves consistency of regulated genes. Statistical<br />
Applications in Genetics and Molecular Biology, Volume 10(1).<br />
Mehmood, T., Martens, H., <strong>Sæbø</strong>, S., Warringer, J. and Snipen, L. (2011) Mining for<br />
Genotype-Phenotype Relations in Saccharomyces using Partial Least Squares. BMC<br />
Bioinformatics, 12:318.<br />
Isaeva, J., <strong>Sæbø</strong>, S., Wyller, J.A., Wolkenhauer, O., and Martens, H. (2011) Nonlinear<br />
modelling of curvature by bi-linear metamodelling (accepted, Journal of Chemometrics<br />
and Intelligent Laboratory Systems).<br />
Isaeva, J., <strong>Sæbø</strong>, S., Wyller, J.A., Nhek, S., and Martens, H. (2011) Fast and<br />
comprehensive fitting of complex mathematical models to massive amounts of empirical<br />
data. (accepted, Journal of Chemometrics and Intelligent Laboratory Systems).<br />
Booij, B.B., Lindahl, T. Wetterberg, P., Skaane, N.V., <strong>Sæbø</strong>, S., Feten, G., Rye, P.D.,<br />
Kristiansen, L.I., Hagen, N., Jensen, M., Bårdsen, K., Winblad, B., Sharma, P., and<br />
Lönneborg, A. (2011). A gene expression pattern in blood for the early detection of<br />
Alzheimer’s disease. Journal of Alzheimer’s Disease, 23(1), 109-119.
Martens, H., Måge, I., Tøndel, K., Isaeva, J., Høy, M., <strong>Sæbø</strong>, S. (2010). Multi-level binary<br />
replacement (MBR) design for computer experiments in high-dimensional nonlinear<br />
systems. Journal of Chemometrics, Vol 24, pp 748-756.<br />
Isaeva, J., <strong>Sæbø</strong>, S., Wyller, J., Liland, K.H., Fergestad, E.M., Bro, R. and Martens, H.<br />
(2010) Using GEMANOVA to explore the pattern generating properties of the Delta-Notch<br />
model. Journal of Chemometrics, 24 (10), 626-634.<br />
Aarøe, J., Lindahl, T., Dumeaux, V., <strong>Sæbø</strong>, S., Tobin, D., Hagen, N., Skaane, P.,<br />
Lönneborg, A., Sharama, P. and Børresen-Dale, A-L. (2010). Gene expression profiling of<br />
peripheral blood cells for early detection of breast cancer. Breast Cancer Research,<br />
12:R7.<br />
<strong>Sæbø</strong>, S., Martens, M. and Martens H. (2010) Three-block data modeling by endo- and<br />
exo-LPLS regression. In Handbook of Partial Least Squares: Concepts, Methods and<br />
Applications. Esposito Vinzi, V.; Chin, W.W.; Henseler, J.; Wang, H. (Eds.). Springer.<br />
Færgestad, E.M., Langsrud, Ø., Høy, M., Hollung, K., <strong>Sæbø</strong>, S., Liland, K.H., Kohler,<br />
A., Gidskehaug,L., Almergren, J., Anderssen, E. and Martens, H. (2009). Analysis of<br />
megavariate data in functional genomics. In Comprehensive Chemometrics. Brown, S.,<br />
Tauler, R., Walczak, R. (Eds.). Elsevier, Oxford.<br />
Schüller, R.B., Tande, M., Almøy, T., <strong>Sæbø</strong>, S., Hoffmann, R., Kallevik, H. and<br />
Amundsen, L. (2009). A new statistical method for determination of wax appearance<br />
temperature. Annual Transactions - The Nordic Rheology Society, 17 (1), 191-197.<br />
Dørum, G., Snipen, L., Solheim, M. And <strong>Sæbø</strong>, S. (2009). Rotation testing in Gene Set<br />
Enrichment Analysis for small direct comparison experiments. Statistical Applications in<br />
Genetics and Molecular Biology, 8 (1), A34.<br />
<strong>Sæbø</strong>, S., Almøy, T., Aarøe, J., Aastveit, A.H. (2008) ST-PLS: A multi-directional nearest<br />
shrunken centroid type classifier via Partial Least Squares. Journal of Chemometrics, 22<br />
(1), 54-62.<br />
<strong>Sæbø</strong>, S., Almøy, T., Flatberg, A., Aastveit, A.H., Martens, H. (2008) LPLS-regression: a<br />
method for prediction and classification under the influence of background information on<br />
predictor variables. Chemometrics and Intelligent Laboratory Systems, 91 (2) 121-132.<br />
Zedrosser, A., Støen, O-G., <strong>Sæbø</strong>, S., Swenson, J.E. (2007). Should I stay or should I<br />
go? Natal dispersal in the brown bear, Animal Behavior 74 (3) 369-376.<br />
(doi:10.1016/j.anbehav.2006.09.015).<br />
Svorkmo-Lundberg, T., Bakken, V., Helberg, M., Mork, K., Røer, J.E., <strong>Sæbø</strong>, S. (2006)<br />
Norsk VinterfuglAtlas : Fuglenes utbredelse, bestandsstørrelse og økologi vinterstid.<br />
Støen, O-G., Zedrosser, A., <strong>Sæbø</strong>, S., Swenson, J.E. (2006). Inversely densitydependent<br />
natal dispersal in brown bears Ursus arctos, Oecologia.<br />
Støen, O-G., Bellemain, E., <strong>Sæbø</strong>, S., Swenson, J.E. (2005). Kin-related spatial structure<br />
in brown bears Ursus arctos, Behavioral Ecology and Sociobiology.<br />
<strong>Sæbø</strong>, S., Almøy, T., Heringstad, B., Klemetsdal, G., Aastveit, A.H. (2005). Genetic<br />
evaluation of mastitis resistance using a first-passage time model for Wiener processes<br />
for analysis of time to first treatment, Journal of Dairy Science.<br />
<strong>Sæbø</strong>, S., Almøy, T., Aastveit, A.H. (2005). Disease resistance modelled as first-passage<br />
times of genetically dependent stochastic processes, Applied Statistics.
<strong>Sæbø</strong>, S., Frigessi, A. (2004). A genetic and spatial Bayesian analysis of mastitis<br />
resistance, Genetics Selection Evolution.<br />
<strong>Sæbø</strong>, S., Almøy, T. (2004). Composite Hazard Functions Reflecting Competing Latent<br />
Processes, Biometrical Journal.<br />
Grimholt, U., Larsen, S., Nordmo, R., Midtlyng, P., Kjøglum, S., Storset, A., <strong>Sæbø</strong>, S.,<br />
Stet, R.J.M. (2003). MHC polymorphism and disease resistance in Atlantic salmon (Salmo<br />
salar); facing pathogens with single expressed major, Immunogenetics.<br />
Aalen, O., Moger, T.A., Amundsen, E., <strong>Sæbø</strong>, S., Wedon-Fekjær, H. (2003).<br />
Overlevelses- og forløpsanalyse: Det tematiske området Norevent, Norsk Epidemiologi.<br />
<strong>Sæbø</strong>, S., Almøy, T., Snipen, L.G. (2001). Adjusted Prediction of Plant Height with<br />
Application to Greenhouse Grown Poinsettias. Biometrical Journal 43 (4), 421-434.<br />
On-going work<br />
Mehmood, T., Warringer, J., Snipen, L. and <strong>Sæbø</strong>, S. Improving stability and<br />
understandability of genotype-phenotype mapping in Saccharomyces using regularized<br />
variable selection in L-PLS regression (submitted).<br />
Dørum, G., Snipen, L., Solheim, M. and <strong>Sæbø</strong>, S. Rotation gene set testing for<br />
longitudinal data from complex microarray experiments (submitted).<br />
Liland, K.H., <strong>Sæbø</strong>, S., Høy, M. and Martens, H. Distribution based truncation in<br />
multivariate calibration (submitted)<br />
Liland, K.H., Whist, A.C., Jonsson, M., Hopp, P. and <strong>Sæbø</strong> S. Developing a risk based<br />
surveillance system: Part I: (In prep).<br />
Liland, K.H., Whist, A.C., Jonsson, M., Hopp, P. and <strong>Sæbø</strong> S. Developing a risk based<br />
surveillance system: Part II: Multivariate Statistical Process Control. (In prep).<br />
Posters at international meetings and conferences<br />
Mehmood, T., Warringer, J., <strong>Sæbø</strong>, S. and Snipen, L. (2011) Two Stage Variable<br />
Elimination in L-PLS Regression Where Background Information on Independent Variable<br />
is Available. Conferentia Chemometrica.<br />
Liland, K.H., <strong>Sæbø</strong>, S. Egeland, T., Sandberg, E., Snipen, L. and Almøy, T. (2011)<br />
Teaching applied statistics to students in natural sciences using the R Commander. useR!<br />
2011.<br />
Isaeva, J., <strong>Sæbø</strong>, S., Wyller, J.A., Liland, K.H., Færgestad, E.M., Bro, R. and Martens, H.<br />
(2008). Exploring the parameter properties of the Delta-Notch model using GEMANOVA<br />
on sensory data from generated images. The 9th International Conference on Systems<br />
Biology, Gøteborg, August 2008.<br />
<strong>Sæbø</strong>, S., Aarøe, J., Helland, Å., Haakensen, V., Lindahl, T., Skaane, P., Hagen, N.,<br />
Lönneborg, A., Børresen-Dale, A.-L. and Sharma, P. (2007). A cross-study verification of<br />
breast cancer gene signature in peripheral blood. The 14 th European Cancer Conference,<br />
Barcelona, Spain.<br />
Aarøe, J., Lindahl, T., <strong>Sæbø</strong>, S., Skaane, P., Hagen, N., Lönneborg, A., Børresen-Dale,<br />
A.-L., Sharma, P. (2006). Expression profiling of peripheral blood cells for early detection<br />
of breast cancer. The 19th EACR conference, Budapest, Ungarn.
Lönneborg, A., Lindahl, T., <strong>Sæbø</strong>, S., Bårdsen, K., Hagen., N., Jensen, M., Sharma, P.,<br />
Hirt, M.., Sharma, P. (2006). Employing blood-based gene expression signature to<br />
discriminate patients with Alzheimer's and Parkinson disease. International<br />
Psychogeriatric Association, European Regional Meeting, Lisboa, Portugal.<br />
Aarøe, J., Lindahl, T., <strong>Sæbø</strong>, S., Skaane, P., Myhre, S., Reiersen, T., Lönneborg, A.,<br />
Børresen-Dale, A.-L. Og Sharma, P. (2006). Expression profiling of peripheral blood cells<br />
for early detection of breast cancer. The 97th AACR Annual Meeting, Washington DC,<br />
USA.<br />
Talks at national and international meetings and conferences<br />
Liland, K.H., <strong>Sæbø</strong>, S.. Høy, M. and Martens, H. (2011). Distribution based truncation in<br />
multivariate calibration. 12th Scandinavian Symposium on Chemometrics.<br />
Helland, I., <strong>Sæbø</strong>, S. and Tjelmeland, H. Bayes PLS: Near optimal prediction from<br />
relevant components. International Biometric Conference, Florianopolis, Brazil, 2010.<br />
<strong>Sæbø</strong>, S., Tjelmeland, H. and Helland I,: Near optimal prediction from relevant<br />
components with Bayes PLS. Kjemometrisymposiet 2010, Sundvollen.<br />
Mehmood, T., Snipen, L. and <strong>Sæbø</strong>, S.: PLS for sequence classification,<br />
Presented in 11th Scandinavian Symposium on Chemometrics (2009).<br />
Isaeva, J., <strong>Sæbø</strong>, S., et al. Using GEMANOVA to explore the properties of dynamical<br />
systems models, 2009 (SSC11)<br />
Isaeva, J., <strong>Sæbø</strong>, S., et al. Using GEMANOVA to explore the properties of dynamical<br />
systems models, Isaeva, 2009 (BFYS)<br />
Dørum, G., Snipen, L., Solheim, M. and <strong>Sæbø</strong>, S.: “Gene set analysis - Finding<br />
differentially expressed sets of genes”. Bionformatics Forum For Young Scientists (2009)<br />
Dørum, G., Snipen, L. and <strong>Sæbø</strong>, S: “Gene Network Enrichment Analysis”<br />
11th Scandinavian Symposium on Chemometrics (2009)<br />
Helland, I. and <strong>Sæbø</strong>, S. (2008). A Bayesian predictor under symmetry based on<br />
the parametric partial least squares algorithm. IWAP – International Workshop on Applied<br />
Probability, 7-10 juli 2008, Université de Technologie de Compiègne, France.<br />
Helland, I. and <strong>Sæbø</strong>, S. (2008). Optimal prediction from relevant components. A<br />
revision of PLS. Seminarserie innen temaet ” Statistical Theory and Methods for Complex,<br />
High-Dimensional Data”, Isaac Newton Institute for Mathematical Sciences, Cambridge,<br />
UK.<br />
<strong>Sæbø</strong>, S. (2008). Predicting phenotypic outcome from expression data – how to integrate<br />
network information. Workshop – Integrative Network Analysis, 10.-11. april 2008, Max<br />
Planck Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, Germany.<br />
<strong>Sæbø</strong>, S, and Helland, I. (2008). Towards optimal prediction from relevant components.<br />
Kjemometrisymposiet 2008, Voss<br />
<strong>Sæbø</strong>, S., Kohler, A., Næs, T. and Martens, H. (2007). A tool-box of methods for multimatrix<br />
modelling. PLS07-5th International symposium. Matforsk, Ås, Norway.<br />
<strong>Sæbø</strong>, S. (2007). L-PLS og bruk av bakgrunnsinformasjon om gener ved klassifikasjon av<br />
sykdom. Kjemometrisymposiet 2007, Geilo.
<strong>Sæbø</strong>, S., Almøy, T., Aastveit, A.H. og Martens, H. (2006). Increasing Classifier Accuracy<br />
by Exploiting Background Variable Information using LPLS. The 23rd International<br />
Biometric Conference, Montreal, Candada.<br />
<strong>Sæbø</strong>, S. (2006). Integrated data analysis using LPLS regression. Invitert foredrag, Max<br />
Planck Institute of Molecular Plant Physiology, Potsdam, Tyskland.<br />
<strong>Sæbø</strong>, S., Frigessi, A. (2003) A genetic and district based Bayesian analysis of mastitis<br />
resistance in Norway. Det 12. Norske Statistikermøte, Hurdal.<br />
<strong>Sæbø</strong>, S., Almøy, T., Aastveit, A.H., Heringstad, B., Klemetsdal, G. (2002) Modelling time<br />
to first treatment of clinical mastitis as first passage times of stochastic processes.<br />
World Congress on Genetics Applied to Livestock Production, Montpellier, Frankrike.<br />
<strong>Sæbø</strong>, S. (2001). International Biometric Society - Nordic Region Conference,<br />
Savonlinna, Finland<br />
<strong>Sæbø</strong>, S. (2001) Modelling population heterogeneity in survival data on the assumption<br />
of competing underlying processes. New developments in Event History Analysis. En<br />
internasjonal workshop i regi av NOREVENT, Oslo.