Alex Grannan is a Principal Nuclear Engineer at Argonne National Laboratory, where responsibilities include leading research and development of physics software modifications to enhance high-performance computing capabilities through machine learning techniques. Prior experience includes serving as a Graduate Research Assistant at the University of California, Los Angeles, focusing on fluid physics experiments and developing cost-effective visualization methods. Additional experience encompasses an undergraduate research internship at Indiana University Bloomington, working on instrumentation for particle physics experiments, and serving as a teaching assistant in the Physics Department. Alex Grannan holds a Ph.D. and M.Sc. in Geophysics and Space Physics from UCLA and dual Bachelor's degrees in Mathematics and Physics from Indiana University Bloomington.
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