About me
I am a fifth-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. I am supported by the NSF GRFP.
The goal of my research is to improve the trustworthiness of machine learning applied to complex systems. My past work and current interests focus on:
- Advancing fundamental research into graph machine learning with a focus on improving efficiency and stability
- Improving the diversity of recommender systems and studying their impact on minority preferences.
- Fostering interdisciplinary deliberations about the potential broader impacts of machine learning and AI.
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.
I have interned at Meta Central Applied Science and FAIR 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.
** I am on the market for postdocs and research-scientist roles beginning in 2025. **
News
- [Nov ‘24] I will give a talk at Brown University’s CNTR.
- [May ‘24] New preprint on negative sampling.
- [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.