Pallavi Basu
Pallavi Basu is an Assistant Professor of Operations Management at the Indian School of Business (ISB), where she teaches concepts and approaches in Statistics. Her research interests include the application of statistics in finance, marketing, and other disciplines; high-dimensional statistical inference; large-scale multiple testing; and topics on causal inference.
Professor Basu is a member of the American Statistical Association, the Institute of Mathematical Statistics, and the International Indian Statistical Association. She received her PhD in Business Administration and Statistics from the USC Marshall School of Business and was a postdoctoral fellow at Tel Aviv University. She completed her undergraduate and postgraduate studies in Statistics (specialising in mathematical statistics and probability) from the Indian Statistical Institute (ISI), Kolkata.
Her current research (2023-2026) is partly funded by the Mathematical Research Impact Centric Support (MATRICS) from the Science and Engineering Research Board (SERB), Government of India.
- Postdoctoral Fellow in Statistics, Tel Aviv University, 2018
- PhD in Business Administration, USC Marshall School of Business, 2016
- M.Stat., Indian Statistical Institute, 2009
- B.Stat., Indian Statistical Institute, 2007
Academic positions
- 2018 - Present: Assistant Professor, Indian School of Business
- 2023 - 2023: Visiting Researcher, Stanford GSB, Economics & Statistics
- 2018 - 2018: Visiting Researcher, Wharton Statistics and Data Science
Professional Positions
- 2010 - 2011: Quant. Research Associate, Bank of America
- 2009 - 2010: Risk Analyst, McKinsey & Company
- Basu, Pallavi., Fu, Luella., Saretto, Alessio., Sun, Wenguang. (2023) "Empirical Bayes Control of the False Discovery Exceedance", Journal of Business and Economic Statistics [Ranked A* in Mathematical Sciences]
- Basu, Pallavi. (2022) "Comments on Assumption-lean inference for generalised linear model parameters", Journal of the Royal Statistical Society: Series B (Statistical Methodology) [Ranked A* in Mathematical Sciences]
- Demirkaya, Emre., Feng, Yang., Basu, Pallavi., Lv, Jinchi. (2021) "Large-scale model selection in misspecified generalized linear models", Biometrika [Ranked A* in Mathematical Sciences]
- Basu, Pallavi., Small, Dylan. (2020) "Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias", Observational Studies [New journal, currently IMS affiliated]
- Tao Feng., Basu, Pallavi., Wenguang Sun., Hsun Teresa Ku., Wendy J. Mack. (2019) "Optimal Design for High–Throughput Screening via False Discovery Rate Control", Statistics in Medicine [Ranked A in Mathematical Sciences]
- Basu, Pallavi., Cai, T Tony., Das, Kiranmoy., Sun, Wenguang. (2018) "Weighted False Discovery Rate Control in Large- Scale Multiple Testing", Journal of the American Statistical Association, Theory and Methods [Ranked A* in Mathematical Sciences]
