About me
Hello! I’m a Research Scientist at Meta, based out of New York. I completed my PhD in Computer Science from University of Illinois at Chicago where I was a part of the CS Theory Group. During my PhD, I worked on problems in the intersection of Theoretical Computer Science, Graph Theory and Computational Biology. My research focused on adapting concepts of curvature from smooth continuous spaces to finite metric spaces, such as Graphs and Hypergraphs, to better understand complex networks. I also applied these shape measures to analyze real-world networks, like metabolic Networks and social Networks. During my undergraduate studies, I worked on problems in Digital Image Forensics and Image Processing.
Outside of research, I’m passionate about music and reading. I’m always on the lookout for new music recommendations — my current favorite genres include Future Bass, Dubstep, House, and Rap. I also love reading non-fiction books, so if you have an interesting recommendation, throw it my way!
If you have any questions about my research or want to collaboarate on anything, feel free to reach out to me via email.
Recent News
- December 2024: I’m excited to share that I’ll be joining Meta in New York as a Research Scientist!
- October 2024: Excited to share that I’ve completed my PhD in Computer Science at UIC.
- August 2023: Finished my internship at Meta. Built an internal tool to track all the Deployed ML Models used at Meta for better Privacy and Governance.
- April 2023: Will be spending Summer 2023 at Bay Area, California working with the AI Metadata team at Meta
- March 2023: Gave a Lecture on Turing Machines at UIC
- May 2022: Interning at Meta working with the AI infrastructure team.
- April 2022: Passed my Preliminary Examination!