Scholar
Abhinav Chakraborty
Google Scholar ID: xTkeZUMAAAAJ
University of Pennsylvania
Citations & Impact
Citations
64
H-index
4
i10-index
3
Publications
14
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Not specifically mentioned
Research Experience
- Currently a Founder’s Postdoctoral Fellow in the Department of Statistics at Columbia University. During his PhD, he closely collaborated with Eugene Katsevich on high-dimensional variable selection and conditional independence testing.
Education
- PhD in Statistics from the Department of Statistics and Data Science, Wharton School, University of Pennsylvania, advised by T. Tony Cai; Bachelor's and Master's degrees from Indian Statistical Institute.
Background
- Research interests include nonparametric estimation and inference, differential privacy, transfer learning, minimax theory, high-dimensional variable selection, conditional independence testing, double/debiased machine learning.
Co-authors