Published multiple papers, including preprints such as 'High-Probability Bounds For Heterogeneous Local Differential Privacy' and papers to be presented at conferences like SODA 2026, NeurIPS 2025, FOCS 2025, COLT 2025, and AISTATS 2025.
Research Experience
Worked as a postdoctoral researcher jointly at Boston University and Northeastern University, collaborating with Prof. Adam Smith and Prof. Jonathan Ullman; was a postdoctoral research associate at UMass Amherst, under the mentorship of Prof. Andrew McGregor; participated in the Probability, Geometry, and Computation in High Dimensions Program at the Simons Institute at Berkeley in Fall 2020.
Education
Ph.D. and M.S. from MIT, advised by Prof. Ronitt Rubinfeld; B.S. in Computer Engineering (Software) from Sharif University of Technology.
Background
Currently a Michael B. Yuen and Sandra A. Tsai Assistant Professor in the Department of Computer Science at Rice University. Research interests include theoretical computer science and statistical learning theory, particularly algorithms with computational constraints and differential privacy.
Miscellany
Interested in recruiting Rice undergraduate students and requires CV and transcript, along with coursework experience related to algorithms.