I am a second-year Ph.D. candidate at Columbia University and a recipient of the NSF Graduate Research Fellowship. I graduated with Highest Honors from Georgia Tech in 2024 with a B.S. in Chemical and Biomolecular Engineering.
As an undergraduate, I applied DFT and MD to analyze carbon capture mechanisms in HB-PEI membranes. This work resulted in two publications (first author in ACS Omega and third author in ACS Applied Materials & Interfaces) and received the President’s Undergraduate Research Award in 2020 and 2021. I also gained industry experience through software engineering internships at Walmart and Capital One, where I developed a mobile application feature for store layout visualization and an internal search engine to support customizable data workflows.
My current research builds on this foundation in computational chemistry and software development. Specifically, I am developing a neuro-symbolic AI framework that integrates symbolic reasoning with deep learning (transformers, RL) to discover novel reaction networks in atmospheric and combustion chemistry.
