About Me

I am a Ph.D. student in Statistics at Carnegie Mellon University, fortunate to be advised by Arun Kumar Kuchibhotla. My primary research interests include statistics, machine learning, and probability, with a focus on developing statistical methods for uncertainty quantification. My research topics encompass:

• Conformal Inference
• Assumption-Lean Inference
• Asymptotic Theory
• Optimization Theory

Before joining CMU, I earned my bachelor’s degree in 2018 and master’s degree in 2020 from the Indian Statistical Institute, Kolkata. In the summer of 2019, I had the opportunity to visit Duke University, where I was hosted by Alexander Volfovsky.