George Hulsey

George Hulsey is a Machine Learning Consultant at BioProtonics, Inc., where responsibilities include testing and validating machine learning methods for biomedical applications. Additionally, George serves as a Risk Practices Audit Consultant for the B. John Garrick Institute for the Risk Sciences at UCLA, focusing on auditing PG&E's "Local Conditions Assessment" tools and analyzing wildfire risk models. Experience as a Graduate Student Researcher at UCSB involves working on numerical solutions of quantum systems in Prof. David Berenstein's group, while experience as a Physics Education & Outreach Coordinator includes organizing outreach events and maintaining demonstration equipment. Previous roles as a Teaching Assistant and Research Assistant at Stanford Institute for Theoretical Physics further enhance expertise in physics. George holds a PhD in Theoretical Physics from UC Santa Barbara and a bachelor's degree from Stanford University.