About me

I am a Ph.D. student at the Department of Statistics and Data Science, Yale University. I will be entering my 5th year in Fall 2021. 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.

Research interests

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

  • High dimensional problems
  • Markov decision process
  • Non-convex penalties
  • Non-parametric estimation
  • Mixture modeling
  • Support recovery
  • Markov chains
  • Spectral analysis