About me
Hello! I’m a Postdoctoral Fellow in AI Systems and Applied AI and Teaching Faculty at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy, based out of Pittsburgh. Previously, I was a Research Scientist at Meta, where I worked on developing the Horizon Editor which enables users to build their own games/worlds in the Metaverse. 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 spend an unreasonable amount of time thinking about consciousness and the self — first through Advaita Vedanta and Eastern philosophy, and increasingly through Western philosophy’s attempts to reinvent the wheel. When I need a break from non-dual metaphysics, I turn the music up loud — Future Bass, Dubstep, House, Rap, all fair game.
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
- August 2026: Excited to share that I’ve joined Carnegie Mellon University’s Heinz College of Information Systems and Public Policy as a Postdoctoral Fellow in AI Systems and Applied AI and Teaching Faculty!
- May 2026: Our book chapter On Analyzing Networks via Curvature Measures: Review of Methodologies and Applications has been published in Convex and Variational Analysis with Applications: In Honor of Terry Rockafellar’s 90th Birthday, edited by Panos M. Pardalos and Themistocles M. Rassias, Springer!
- April 2025: Our paper on Finding Influential Cores via Normalized Ricci Flows in Directed and Undirected Hypergraphs with Applications has been accepted to appear on Physical Review E!
- 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! My dissertation, Ricci Curvature and Ricci Flow for Graphs and Hypergraphs, explored discretizing notions of curvature and curvature-driven flows on graphs and hypergraphs, with applications to identifying influential structures in real-world networks. I was advised by Dr. Bhaskar DasGupta.
Older News
- 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!