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
Teaching:
Lecturer: CS224W Machine Learning with Graphs – Stanford Fall 2023
TA: 6.867 Machine Learning (graduate level) – MIT Fall 2021