I’m studying computer science at Georgia Tech, with a minor in physics. I like problems where the two overlap, especially when machine learning can help us understand or build something in the real world.
At Argonne National Laboratory, I work on reinforcement learning for molecular discovery. At Georgia Tech, I benchmark scientific computing tools and program autonomous robots with RoboJackets.
Looking for research and software engineering internships for summer 2027.
NSF REU Research Intern
I fine-tune a molecular diffusion model to generate metal-organic frameworks that could help with carbon capture and energy storage.
I redesigned how generated candidates are evaluated and parallelized the assembly and evaluation workloads across 72 CPU cores.
PURA Scholar & Undergraduate Researcher
I implement and benchmark sparse algorithms such as linear solvers and GCN inference on problems ranging from megabytes to terabytes to find the fastest frameworks.
I also build Array API–compliant infrastructure, automated data pipelines, and visualizations to compare runtime and coverage across NumPy, PyTorch, SciPy, and PyData Sparse. I’m writing a paper on this work as first author.
Browse the benchmark source ↗Software Engineer & Operator
I’m the lead programmer for our 500g and 3kg robots. I write C++ for autonomous strategy and systems integration, and use physics simulations to test robot geometries before we build them.
Founder & ML Developer · Klaus Startup Challenge
Through the Klaus Startup Challenge, I built Newtonic to explore how machine learning could improve physics simulations. I developed graph neural network and LLM-based tools for performance, scalability, and automated analysis.
I play a lot of beach volleyball, like to ski and lift, and am a huge Washington Commanders fan. I’m also always up for poker night or a concert.
