Welcome to my personal website! I am a Master's student in Computer Science at the Georgia Institute of Technology, where I also earned my B.S. in Computer Science with a perfect 4.0 GPA. I build machine learning systems for scientific problems, with a working foundation in Python, PyTorch, big data tooling, and cloud computing.

As a researcher, I work on AI for science in the Fung Group at Georgia Tech, advised by Assistant Professor Victor Fung. My research covers machine learning interatomic potentials — making them physically reliable enough for molecular dynamics — and LLM agent systems that edit crystal structures from natural language and search for new materials by inverse design. This work has produced first-author papers in the Journal of Chemical Information and Modeling and the Journal of Renewable and Sustainable Energy.

Most recently I was a machine learning intern at Lila Sciences in Cambridge, MA, building agentic frameworks for automated model development. Before that I spent a semester at the Fraunhofer Institute for Wind Energy Systems in Bremen, Germany, turning a year of terabyte-scale, multi-instrument wind measurements into a validated benchmark dataset for wake model evaluation.

My academic CV and resume are available as PDFs.