Anandamayee Majumdar
Assistant Professor in the Department of Mathematics, College of Science & Engineering, San Francisco State University
Assistant Professor in the Department of Mathematics, College of Science & Engineering, San Francisco State University
Anandamayee Majumdar works at the Department of Mathematics, College of Science & Engineering, San Francisco State University, CA, US. Anandamayee finished her Ph.D. and M.S. in Statistics at the University of Connecticut and Michigan State University, respectively. Moreover, she received a master's degree in mathematical statistics and probability and a bachelor's in statistics from the Indian Statistical Institute (I.S.I.).
Spatial & Spatio-temporal Statistics
Bayesian Statistics
Econometrics
Multi-disciplinary Research with Applications in Biostatistics
Biology
Health
Environment
Sustainability
Ecology
I am currently looking for enthusiastic students (both undergrad and grad) to work with me in various research projects. If you are interested in any of my research topics, please feel free to send me an email with your resume and transcripts.
For the last decade and longer I have been conducting research on diverse topics of statistics while collaborating with Statisticians, Econometricians, and other scientists.
My research interests include spatial processes and space-time processes. Some of this data is difficult to explain and predict due to missing observations, or inherent variability that can not be explained by spatial covariates alone. Sometimes there are more than one variables that are being studied together that are associated. Data can be both numerical or categorical. Then there are challenges when different sources of data have to be combined to get better predictions. Sometimes there are changepoints in time. Statistical modeling is useful in such cases because it utilizes the available data to build efficient and possibly robust probability models that can make sense and be used for future projections. Also sometimes there are null responses in datasets, and understanding these responses are also important in mixed modeling scenarios since they can not be understood using regular models. In the past, I had been working with studying such data with various challenges. I have also used robust modeling that can predict extreme values in multivariate processes. I have also used non-parametric and semi-parametric modeling (quantile and expectile regression) for time series and space-time data.
I am currently focused on building robust models for better prediction when adjacency (of space-time) information alone can not explain the data. Incorporating expert opinion directly into the model is then important; I am exploring the field of space-time models where this can be done. I am also interested in public health data that is new and emerging, where there are many open questions about the public health preferences of individuals in the population.
Assistant Professor, San Francisco State University, August 2023 - Present.
Senior statistician, Inter-American Tropical Tuna Commission, USA, November 2021 - July 2023.
Professor of Statistics, Independent University, Bangladesh, January 2020 - Sep. 2021. Department of Physical Sciences, School of Engineering Science & Technology.
Visiting Researcher, University of California, Davis, June 2018. Department of Statistics.
Professor of Statistics, North South University, Bangladesh , Aug. 2015 - May 2019. School of Business.
Distinguished Professor of Statistics, Soochow University, China, Feb. 2013 - Aug. 2015. Center for Advanced Statistics and Econometrics.
Visiting Assistant Professor, Southern Methodist University, USA Aug. 2011 - Jul 2012. Department of Statistical Sciences.
Assistant Professor, Arizona State University, USA, Aug. 2004 - December 2010. Department of Mathematical Sciences.
J. K. Ghosh Memorial Endowment Lecture, 28th Annual Conference of the Society of Statistics, India. , 2026.
Selected as speaker of this annually organized prestigious talk
NSF LEAPS award panelist 2025.
Selected to review LEAPS awards at DMS program, NSF
JSM Graduate Travel Award, San Francisco 2003.
Awarded travel funding to present research at a conference.
Case-Studies in Bayesian Statistics Graduate Travel Award, Pittsburgh 2003.
Awarded travel funding to present research at a conference.
Int. Workshop on Bayesian Data Analysis Graduate Travel Award, Santa Cruz 2003.
Awarded travel funding at a conference.
SAMSIWorkshop Graduate Travel Award, Boulder. 2003.
Awarded travel funding at a conference.
Ph. D. in Statistics, 2004 (University of Connecticut Storrs, CT, USA)
M. S. in Statistics, 2001 (Michigan State University East Lansing, MI, USA)
M.Stat. (Master’s) in Mathematical Statistics and Probability, 1998 (Indian Statistical Institute (I. S. I.), Calcutta Kolkata, India)
B.Stat. (Bachelor’s) in Statistics, 1996 (Indian Statistical Institute (I. S. I.), Calcutta Kolkata, India)
Professional Memberships:
The International Society for Bayesian Analysis
The American Statistical Association
The Institute of Mathematical Statistics
INCLUDING SERVICE CREDIT
Editorial Services:
Associate Editor, Applied Stochastic Modeling in Business and Industry (April 2022– Present).
Department Committees:
Graduation committee, SFSU (2024–2025).
Committee on M.S in Statistical Data Science students’ selection. (2023, 2024, 2025).
Department Service:
Department Lecturer’s Teaching Observer. (2024, 2026).
CSU / CoSE Service:
CSU Research Project judge. 2026.
Judge, Students’ Poster presentation. 2024.
Community outreach and K-12 education
(Elected) SFASA K-12 students Summer Project Program as Statistics Data Science Mentor (Summers 2024, 2025, 2026).
(Elected) SFASA officer. (2024– present).
NSF committee
NSF LEAPS grants reviewe panelist (invited). 2025.
PRIOR TO SERVICE CREDIT
University Committees:
Member (Elected) Interdisciplinary M.S. Statistics, ASU (2004 - 2009).
Member (Elected) of the interdisciplinary Ph.D. in Statistics, ASU (2008 - 2009).
Department Committees:
Award committee, ASU, USA (2008-2009).
Affirmative action committee, ASU (2004 - 2008).
Ph. D. qualifier committee for the Probability Exam, ASU, December 2008, December 2007, Aug 2007, Jan 2007, (chair), December 2006, Aug 2006, May 2006, Dec 2005, Aug 2005, May 2005, (chair), December 2004.
Ph. D. qualifier committee for Mathematical Statistics, ASU, Dec 2008.
Review Journals
Statistics & Applications.
Applied Stochastic Models in Business and Industry.
Computational Statistics and Data Analysis.
Journal of Business and Economic Statistics.
Journal of Non-parametric Statistics.
Annals of Applied Statistics.
Biostatistics.
Ecological Applications.
Environmental and Ecological Statistics.
Journal of Statistical Planning and Inference.
Journal of the Royal Statistical Society.
Soil Society of America Journal.
Empirical Economics.
Journal of the Indian Statistical Association.
Journal of the Korean Statistical Association.
San Francisco State University, Department of Mathematics, 1600 Holloway Avenue, San Francisco, CA 94132
Email: amajumdar (at) sfsu.edu