About me

I am a final-year computer science Ph.D. candidate at Northeastern University, affiliated with the Network Science Institute and advised by Professor Tina Eliassi-Rad. My research interests lie at the intersection of graph machine learning, algorithmic fairness, and the societal impact of AI. I am supported by the NSF GRFP.

In August 2025, I will begin as an Assistant Research Professor (postdoc) at Cornell’s Center for Data Science for Enterprise and Society.

My research aims to improve the trustworthiness of machine learning applied to complex systems. I focus on developing representation learning that is efficient, stable, and fair.

I have worked as a sociotechnical researcher at Taraaz, collaborating on projects on human-rights impact assessments and AI procurement.

I have interned at Meta Central Applied Science (CAS) and FAIR AI and was previously a software engineer at Bloomberg LP. I graduated from Princeton University with a concentration in Computer Science and a certificate in Statistics and Machine Learning.

News

• [May ‘25] Paper on skip-gram negative sampling accepted to KDD ‘25
• [Apr ‘25] Paper on fairness in PCA accepted to FAccT ‘25