About
I am a Computer Science PhD student at UC San Diego, advised by Dr. Trey Ideker. I previously was a Staff Research Scientist at the Institute of Protein Design, University of Washington, advised by Dr. David Baker. At the Baker Lab, I worked on building machine learning models that use diffusion and flow-matching algorithms to design T-Cell Receptors.
Prior to that, I worked as a Research Fellow at Microsoft Research, PROSE, where I built language models to fix formulae in Microsoft Excel and contributed to Visual Studio Copilot.
Outside of work, I love playing football, swimming, reading and writing blogs. I also am a huge Arsenal, Seahawks and RCB fan!
News
- Jul 2025
- Nov 2024
- Aug 2023
- Jul 2023
- Jul 2022
- Jan 2022
- May 2022
Papers
2024
FLAME: A Small Language Model for Spreadsheet Formulae. AAAI Conference on Artificial Intelligence (AAAI 2024). PDF
2022
A Question-Centric Evaluation of Descriptive Answers Using Attention-Based Architecture. IEEE International Conference on Confluence 2022. PDF
An Atypical Metaheuristic Approach to Recognize an Optimal Architecture of a Neural Network. International Conference on Agents and Artificial Intelligence (ICAART 2022). PDF
