Rohan Sinha is a fourth-year PhD candidate in the Department of Aeronautics and Astronautics at Stanford University. Advised by Prof. Marco Pavone in the Autonomous Systems Lab, his research focuses on developing methodologies to improve the reliability of ML-enabled robotic systems, particularly when encountering out-of-distribution conditions. His interests lie at the intersection of control theory, machine learning, and applied robotics.