ANIRBAN MONDAL - Department of Statistics - Texas A&M University

ANIRBAN MONDAL
Department of Statistics,
Texas A&M University, 3143 TAMU,
College Station, TX 77843.
Voice: 517-648-7514
Email: anirban@stat.tamu.edu
http://www.stat.tamu.edu/~anirban
EDUCATION
• PhD, Statistics, Texas A&M University, Spring 2008 - Summer 2011(expected).
Advisors: Prof. Bani Mallick & Prof. Yalchin Efendiev.
Current GPA: 4.00/4.00
• M.S, Statistics, Michigan State University, Fall 2005 - Fall 2007.
GPA: 3.93/4.00
• M.STAT, Indian Statistical Institute, July 2003 - June 2005.
Specialization: Applied Statistics & Data Analysis
Grade: 1 st Class with Distinction.
• B.SC, Statistics Honors, Ramakrishna Mission Residential College, Narendrapur,
University of Calcutta, July 2000 - June 2003.
Grade: 1 st Class with Distinction. (ranked joint 3 rd in the University)
RESEARCH INTERESTS
Spatial Statistics, Inverse Problems, Uncertainty Quantification, Bayesian Decision Theory,
Multiscale Modeling, Bioinformatics, Statistical Genetics.
INTERNSHIP EXPERIENCE
1. Schlumberger, Sugarland Technology Center, Sugarland, TX, Summer 2010.
− Built Bayesian models for uncertainty quantification in compositionally graded
reservoirs (patent to be filed soon). The methodology is used to estimate the
density of fluid with its uncertainty in prediction and estimate the free fluid level
taking into consideration the measurement error.
− Contributed on a project on multistage completion optimization.
2. Quantum Reservoir Impact (QRI), Houston, TX, Summer 2009.
− Developed statistical models for smart sampling of wells by cluster analysis.
− Built emulators to forecast the future production rate.

3. Central Statistical Organization (CSO), New Delhi, India, Summer 2004.
− Built regression models to forecast the share of service sectors in G.D.P of India.
ACADEMIC EXPERIENCE
Research Assistant
1. Institute for Applied Mathematics and Computational Science, Texas A&M University,
Fall 2008 - Present.
− Worked on various projects on spatial modeling related to sub-surfaces and
production forecasting in collaboration with research groups from Mathematics,
Statistics and Petroleum Engineering Department.
2. Department of Statistics and Probability, Michigan State University, Spring 2007.
− Worked on improving the methodology for background correction and scaling of
RT-PCR data.
Course Instructor
1. STT 200: Statistical Methods, Michigan State University, Summer 2006.
2. STT 200: Statistical Methods, Michigan State University, Summer 2007.
− Primary classroom instructor with sole responsibility for a class of students from
different majors. Duties include preparing and conducting lectures, writing
exams and homework assignments, and assigning grades.
Teaching Assistant
1. Undergraduate Courses: STAT 211, Texas A&M University. STT 315, STT 200, Michigan
State University.
2. Graduate courses: STT 871, 881, 825, 886, Michigan State University.
− Assisted the primary instructor in various undergraduate and graduate courses.
Duties include conducting lectures, recitations and Q/A sessions, evaluating
student performance and holding office hours.
RESEARCH AND PROJECT WORK
1. Currently working towards my thesis on the research topic “Bayesian uncertainty
quantification for large-scale spatial inverse problems with applications in reservoir
modeling” under the guidance of Dr. Bani Mallick and Dr. Yalchin Efendiev, Texas A&M
University.
2. A project on “Statistical Analysis of Compositionally Graded Reservoir” under the
guidance of Dr. Julian J. Pop and Dr. Jaideva C. Goswami, Schlumberger, 2010.

3. A project on “Cluster based sampling of wells and building emulator for production
forecasting” under the guidance of Dr. Robert Toronyi, Quantum Reservoir Impact
(QRI), 2009.
4. A project on “Statistical design and analysis of RT-PCR data” under the guidance of Dr.
Marianne Huebner, Michigan State University, 2007.
5. A project on “Test of allelic association for quantitative traits: Model free Approaches”
under the guidance of Dr. Saurabh Ghosh, Indian Statistical Institute. A part of the paper
was presented at the annual meeting of American Society of Human Genetics, 2005.
PAPERS/PUBLICATIONS
1. A. Mondal, Y. Efendiev, B. Mallick, A. Datta-Gupta (2010), Bayesian uncertainty
quantification for flows in heterogeneous sub-surfaces using reversible jump MCMC
Methods. Advances in Water Resources. Volume 33, Issue 3, March 2010, pp 241-256.
Top 25 Hottest Articles. Advances in Water Resources, January to March 2010.
http://top25.sciencedirect.com/subject/earth-and-planetary-sciences/9/journal/
advances-in-water-resources/03091708/archive/26/
2. A. Mondal, B. Mallick, Y. Efendiev, A. Datta-Gupta (2010), Bayesian inference and
uncertainty quantification in large scale inverse problems. (submitted to Journal of the
American Statistical Association, Theory and Methods)
3. J. Xie, A. Mondal, Y. Efendiev, B. Mallick, A. Datta-Gupta (2010), History matching
channelized reservoirs using reversible jump Markov Chain Monte Carlo methods. SPE
Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, April 2010.
4. J. Wei, A. Mondal, Y. Efendiev, B. Mallick (2010), Bayesian inversion for channelized
reservoirs via reduced dimensional parameterization. (to be submitted to International
Journal for Uncertainty Quantification).
5. A. Mondal, A. Chakraborty, B. Mallick, Emulators on spatial field using predictive
process. (in progress).
6. A. Mondal, A. Chakraborty, B. Mallick, Spatial process modeling using polynomial chaos.
(in progress).
7. A. Mondal, B. Mallick, Y. Efendiev, Spatial inverse problems using multipoint geostatistics.
(in progress)

WORKSHOPS/CONFERENCES
1. OCCAM Mathematical Modeling Camp 2010, University of Oxford, Oxford, U.K.
Worked on a group project titled “Using prior gene expression knowledge to assess new
data”.
2. European Study Group with Industry (ESGI 73), 2010, University of Warwick, Warwick,
U.K. Worked on a group project titled “Dynamic line Management”. Problem given by
the company TalkTalk.
3. Poster presentation at InterPore Conference and Annual Meeting, 2010, Texas A&M
University. Topic: “Bayesian inverse problems for channelized reservoirs”.
4. Contributed speaker on the Joint Statistical Meeting (JSM), 2009, Washington, DC, USA.
Topic: “Bayesian uncertainty quantification for subsurface inversion using multiscale
hierarchical models”.
5. Poster presentation at the workshop on Data Assimilation in the Geosciences, 2009,
Texas A&M University. Topic: “Bayesian inverse problems for channelized reservoirs”.
6. Poster presentation on the Southern Regional Council on Statistics Annual Meeting,
2009, Jekyll Island, GA. Topic: “Bayesian uncertainty quantification for flows in
heterogeneous sub-surfaces using reversible jump MCMC Methods”.
7. Indo-US Workshop on Genetic epidemiological Methods for Dissection of complex
human traits, 2004, Indian Statistical Institute, Kolkata, India.
COMPUTING SKILLS
• Software: SAS, R, MATLAB, SPLUS, SPOTFIRE, ECLIPSE.
• Programming Language: C, C++, SQL.
AWARDS AND ACHIEVEMENTS
1. IAMCS-KAUST Fellowship, Texas A&M University. Fall 2008 - Present.
2. R.L. Anderson Student paper Award, Southern Regional Council on Statistics Annual
Meeting, 2009, Jekyll Island, GA. (Joint runner-up award).
3. ASA Travel Award, Southern Regional Council on Statistics Annual Meeting, 2009, Jekyll
Island, GA.
4. Graduate Fellowship, Michigan State University, Fall 2005.
5. Prof. Mrinal Bose Award for securing highest marks in Statistics Honors, Narendrapur
R.K.M.R.C, Jan 2004.
6. Placed joint 3 rd in Statistics Honors at University of Calcutta, July 2003.

7. Placed 1 st among all the science graduates, Narendrapur R.K.M.R.C, July 2003.
8. Swami Lokeshwarananda Prize for Academic Excellence, Narendrapur R.K.M.R.C,
January 2003.
MEMBERSHIPS
1. American Statistical Association (ASA)
2. Institute of Mathematical Statistics (IMS)
WORK AUTHORIZATION
International student on F1 VISA. Eligible for Practical Training (OPT).
VARIOUS COURSE WORKS
• Mathematics Courses: Real Analysis, Measure Theory, Probability Theory, Convergence
of Measures and Stochastic Processes, Linear Algebra, Optimization Techniques,
Numerical Analysis, Multiscale Methods for Partial Differential Equations.
• Statistics Courses: Statistical Methods, Statistical Inference, Hypothesis Testing,
Nonparametric Inference, Linear Models, Design of Experiments & Sample Surveys,
Advanced Design of Experiments, Large Sample Theory and Markov Chain, Time Series
Analysis, Non-linear Time Series, Applied Statistical Methods, Regression Techniques,
Multivariate Analysis, Applied Multivariate Analysis, Spatial Statistics, Geo-statistics,
Analysis of Discrete Data, Life Testing and Reliability, Modern Statistical Methods,
Statistical Machine Learning, Survival Analysis, Bayesian Statistics, Advanced Bayesian
Methods.
• Biological Courses: Statistical Methods in Genetics I&II, Introduction to Bioinformatics.
• Computing Courses: C-programming and Data-structure, Statistical Computing.
REFERENCES
Prof. Bani Mallick
Department of Statistics,
Texas A&M University,
3143 TAMU,
College Station, TX 77843.
Phone: 979-845-1275
Email:bmallick@stat.tamu.edu
Prof. Yalchin Efendiev
Department of Mathematics,
Texas A&M University,
3404 TAMU,
College Station, TX 77843.
Phone: 979-862-2716
Email:efendiev@math.tamu.edu
Prof. Michael Longnecker
Department of Statistics,
Texas A&M University,
3143 TAMU,
College Station, TX 77843.
Phone: 979-845-3141
Email:longneck@stat.tamu.edu