With degrees in Astrophysics, Applied Physics, and Mathematics, Jesseca has a strong research background in data analysis. As part of her thesis work, she analyzed Type II supernova data from a remote robotic telescope at Liverpool John Moores University, contributing to collaborative evolutionary models. She also conducted research at the University of Utah on neutron star mergers, focusing on their role in heavy element formation. Her most recent assignment was in collaboration with engineers at Tesla in training the nueral network used in their Autopilot Project.More...