Welcome!

About me

I am an Assistant Professor in the Department of Applied and Computational Mathematics and Statistics (ACMS) at the University of Notre Dame, IN, USA.

Previously, I was a Post-doctoral Research Associate at Princeton ORFE, where I have been fortunate to be advised by Prof. Jianqing Fan and Prof. Sanjeev Kulkarni. I finished my Ph.D. at the Department of Statistics and Data Science, Yale University. During my doctoral studies at Yale, I have been fortunate to be mentored by Prof. Yihong Wu. Prior to this, I spent five wonderful years at Indian Statistical Institute (ISI), Kolkata, completing my Bachelors of Statistics (B.Stat.) and Masters of Statistics (M.Stat.) with specialization in Theoretical Statistics. For my Master’s dissertation, I worked on minimum distance estimators that can avoid Kernel smoothing in the estimation process, under the guidance of Prof. Ayanendranath Basu.

Research interests

I am broadly interested in theoretical and methodological aspects of Statistics and Machine learning, including

• Deep Learning
• Empirical Bayes
• Mixture modeling
• Causal Inference