About
Machine learning researcher and computational astrophysicist building intelligent systems for scientific discovery.
I am currently pursuing an M.S. in Computer Science at UC San Diego, researching scientific machine learning, autonomous sensing systems, graph neural networks, and generative AI for simulation and scientific discovery.
Previously, I worked at MIT Lincoln Laboratory in the Space Systems Analysis and Test Group, where I developed signal processing pipelines, RF system interfaces, reinforcement learning systems for satellite coordination, and generative models for radar image classification.
At UC Berkeley Space Sciences Laboratory, I worked on machine learning reconstruction systems for gamma-ray astrophysics missions including COSI, GAPS, BTO, and AMEGO-X in collaboration with NASA teams.
Space Systems & Autonomy
Researching intelligent sensing systems, autonomous coordination, and machine learning for orbital environments.
Scientific Machine Learning
Building generative models and AI systems for scientific simulation and computational discovery.
