I'm a first year graduate student at the UC Berkeley. Broadly speaking, I'm interested in ML for scientific discovery in the physical sciences. Grad Research Projects
- Rubin LSST developing and deploying a Neural Active Optics Control system for the newly completed Vera C. Rubin Observatory
- Neural Compression ...
- Inverse Optics Design ...
Undergrad Research Projects:
- @CERN I developed firmware and ML algorithms for FPGAs as part of the Liquid Argon Digital Signal Processor upgrade for the High-Luminosity LHC.
- @Caltech LIGO I built probablistic deep learning models to solve a non-linear dynamic control problem in stabilizing LIGO's mirrors to nanometer precision with KHz inference speeds.
- @Dunlap Institute of Astronomy & Astrophysics I worked on developing ML algorithms for Fast Radio Burst detection for CHIME radio telescope.
- @University of Toronto Dept. Astronomy and Astrophysics I work on developing Graph Neural Networks and Simulation Based Inferencing to infer, from stellar streams, the mass of dark matter substructure in the Milkyway.
- @University of Toronto Dept. Computer Science I work on developing LLM for equation extraction and symbolic regression.
- @BerkeleySETI explored using geometric deep learning search pipeline for the MeerKAT telescope.