Large neural networks trained on heterogeneous tokamak data, specialized to downstream diagnostic and control tasks. APS DPP 2025; ICLR 2026 Workshop DATA-FM.
Class-conditional normalizing flows as oracles for exact posteriors. Scaling laws, active learning, and the limits of learning from exact posteriors. arXiv Jan 2026.
Fast signal extraction for fluctuating tokamak time series. Real-time, fluctuation-aware feature pipelines for plasma diagnostics. arXiv Feb 2026.
Led a real-time, machine-learning enabled emission front control experiment at the DIII-D National Fusion Facility. APS DPP 2024.
20× speedup on CUDA for the ORBIT-GPU plasma simulator at PPPL.
Founded the 2023 conference (400+ attendees nationally) via CruX at UCLA — interdisciplinary AI, neuroscience, and cognitive science.
Founder & president — built the UCLA chapter from scratch.
Research coordinator — 80+ member literature reviews, year-long research program for 40+ undergrads.
8-member NTX Competition team — 3rd internationally, Best ERP Category.