About me

I am a fourth-year computer science Ph.D. candidate in Khoury College at Northeastern University, in affiliation with the Network Science Institute, 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. My research is supported by the NSF GRFP.

I graduated from Princeton University with a concentration in Computer Science and a certificate in Statistics and Machine Learning. There, I was fortunate enough to be advised by Matthew Salganik.

I have worked as a part-time sociotechnical researcher at Taraaz, founded by Roya Pakzad, collaborating on projects on human-rights impact assessments and AI procurement.

During Summer 2022, I interned at Meta AI under the supervision of Maximilian Nickel. Previously, I was a software engineer at Bloomberg LP where my work focused on full-stack C++ applications, message queueing, and continuous integration.


  • [Feb ‘24] I presented a talk titled “Toward Understanding Mechanisms of Unfairness and Moving Beyond Demographic Attributes” at the MSR New England ML Ideas Seminar. My slides are available here.
  • [Feb ‘24] This summer I will be a PhD Research Scientist Intern on the Graph Science and Statistics Research team at Meta Central Applied Science (CAS) in Menlo Park.
  • [Jan ‘24] This spring I am the Instructor of Record for Introduction to Machine Learning and Data Mining (DS 4400) at Northeastern.
  • [Oct ‘23] New preprint on unfairness in PCA.