Christian Ellis is a joint postdoctoral researcher with the Army Research Laboratory and the UT Center for Autonomy focused on building safe and robust algorithms for autonomous systems which can operate in environments beyond were they were trained. His research interests include safe inverse reinforcement learning, environmental uncertainty quantification, open world learning, test and evaluation, and formal verification. Resulting publications provide applied solutions to real world autonomous systems. Christian received both a Ph.D. in Electrical and Computer Engineering in 2024 for his dissertation titled, "Terrain Aware Autonomous Ground Navigation in Unstructured Environments Informed by Human Demonstrations," and a B.S. in Computer Science: Software Engineering in 2019 from the University of Massachusetts, Dartmouth.