MD-Nazmus Sunbeam is a Ph.D. student in the aerospace engineering department. He will graduate in May 2021 from the University of Texas at Austin with a B.S. degree in aerospace engineering. During his undergraduate studies, Sunbeam worked on making a chess AI by training neural nets through evolutionary algorithms using NEAT. Additionally, he assembled and configured quadcopters, using the drone footage to train object detection neural nets. He has experience implementing convolutional neural nets on different image classification and speech recognition problems. His research interests are AI/ML/robotics. In the fall at VSCL, Sunbeam will research Enhancing the Cycle-of-Learning for Autonomous Systems to Facilitate Human-Agent Teaming, which is sponsored by the Army Research Laboratory.