Asher Hancock is a Research Intern with the Autonomous Vehicle Research Group at NVIDIA Research and a PhD student in Mechanical and Aerospace Engineering at Princeton University, advised by Anirudha Majumdar. His research focuses on pre-training and post-training strategies for vision-language-action (VLA) models and action-conditioned world models (AC-WMs), with an emphasis on improving generalization and reliability in out-of-distribution scenarios. He earned his MPhil in Engineering from the University of Cambridge and his B.S. from the University of Pittsburgh.