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Aobo Li is an Assistant Professor at the Halıcıoğlu Data Science Institute at UC San Diego. His research focuses on utilizing ultra-sensitive radiation detectors to probe fundamental questions in physics, particularly concerning neutrinos and dark matter. He employs advanced machine learning techniques in his work, including self-supervised learning, time series analysis, and geometric deep learning, aiming to harness algorithms that can extract critical information from radiation detection data. His contributions to the field have been recognized with several accolades, including the APS Dissertation Award in Nuclear Physics and the Postdoc Award for Research Excellence. Aobo Li is committed to advancing fundamental science through the interpretation of experimental data from nature and unlocking its secrets.
Halıcıoğlu Data Science Institute • La Jolla, CA, USA
Assist in research and education within the Department of Data Science and the Department of Physics.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).