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Pallavi Basu
Overview
I am an Assistant Professor in the Operations Management area and I teach concepts, approaches in Statistics at ISB. My research interests include-Applications of statistics in finance, marketing, and other disciplines; High-dimensional statistical inference and Large-scale multiple testing. I am member of the American Statistical Association, Institute of Mathematical Statistics and International Indian Statistical Association. I have gained my Ph D (Business Administration and Statistics), from USC Marshall School of Business. I was a post-doctoral fellow at Tel Aviv University.
Experience
Academic
- 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
- 2010 - 2011: Quant. Research Associate, Bank of America
- 2009 - 2010: Risk Analyst, McKinsey & Company
Research & Publications
Published Papers
Basu, Pallavi. (forthcoming) "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 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 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] , 113