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. My research is 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.
Previously, I was a software engineer at Bloomberg LP where my work focused on full-stack C++ applications, message queueing, and continuous integration. I graduated from Princeton University with a concentration in Computer Science and a certificate in Statistics and Machine Learning.
News
- [May ‘24] New preprint Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings
- [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.