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.
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