Aobo Li

Aobo Li is an Assistant Professor in the Department of Physics at the University of California, San Diego. His research bridges particle physics and machine learning, with a focus on neutrino physics and rare-event detection. He contributes to major international collaborations including LEGEND and KamLAND-Zen, developing advanced instrumentation and AI-driven data analysis techniques for fundamental physics discoveries.

Dr. Li's research interests center on experimental particle physics, particularly neutrinoless double beta decay, neutrino oscillations, and dark matter detection. His work employs machine learning for data cleaning, detector optimization, and real-time analysis in large-scale experiments.

His publications demonstrate a strong focus on improving sensitivity in rare-event physics through innovative detector technologies and computational methods. Recent articles highlight advancements in background reduction, surrogate modeling for detector design, and hardware-AI co-processing systems.

Dr. Li leads experimental physics initiatives and collaborates on next-generation observatories like XLZD and DARWIN, focusing on liquid xenon detector technologies for dark matter and neutrino physics.