About me

I am a fifth year Ph.D. student 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 watchful guidance of Prof. Ayanendranath Basu.

In Fall 2022 I will join Princeton ORFE as a Postdoctoral Research Associate under the supervision of Prof. Sanjeev Kulkarni.

Research interests

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

  • High dimensional problems
  • Non-parametric estimation
  • Markov decision process
  • Mixture modeling
  • Federated learning
  • Support recovery