I am a postdoctoral scholar at Stanford working with Jure Leskovec. I obtained my PhD from MIT CSAIL and LIDS in 2023 advised by Stefanie Jegelka and Suvrit Sra.

I develop new learning algorithms for structured data such as graphs, eigenvectors, and relational databases.


Core review service: NeurIPS, ICLR, ICML, JMLR

Other review service: Nature Communications, COLT, CVPR, ECCV, TMLR


Lecturer: CS224W Machine Learning with Graphs – Stanford Fall 2023

TA: 6.867 Machine Learning (graduate level) – MIT Fall 2021