I am a third-year 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 apply machine learning to social issues but am also interested in identifying and measuring its limitations. I am supported by the NSF GRFP (2021-2024).
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.
During Summer 2022, I interned at Meta AI under the supervision of Maximilian Nickel researching demographic-free measures of group fairness using social networks. Previously, I was a software engineer at Bloomberg LP where my work focused on full-stack C++ applications, message queueing, and continuous integration.
During Fall 2022, I was a visiting graduate student at the Simons Institute / UC Berkeley in the Program on Graph Limits and Processes on Networks: From Epidemics to Misinformation.