Welcome!

About me

I am a Post-doctoral Research Associate at Princeton ORFE. I am advised by Prof. Sanjeev Kulkarni and Prof. Jianqing Fan.

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.

I will join the University of Notre Dame as an Assistant Professor in the Department of Applied and Computational Mathematics and Statistics (ACMS) starting Fall 2024.

Research interests

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

  • Robustness
  • Non-parametric estimation
  • Empirical Bayes applications
  • Mixture modeling
  • Sparsity
  • Dependent setups