I am a fourth-year PhD candidate in the Computer Science department at Cornell University, working under Prof. Tapomayukh Bhattacharjee and Prof. Sarah Dean. My primary research interest lies at the intersection of machine learning-based methods for sequential decision-making (especially reinforcement learning), robotics, and probabilistic modeling and inference. Previously in my PhD, I was a member of the Autonomous Systems Lab under Prof. Mark Campbell.
Previously, I was a Research Engineer in CSAIL at MIT, working in the Distributed Robotics Laboratory under Prof. Daniela Rus. My primary work focused on autonomous vehicle algorithm validation and testing using the CARLA autonomous driving simulator, focusing on algorithms such as vehicle navigation using sparse topological maps, dynamic obstacle avoidance, and visual end-to-end learning. I also supported projects relating to the Toyota Human Support Robot (HSR) platform in the areas of natural language understanding and high-level task execution.
Before that, I was an M.Eng. student in the Distributed Robotics Laboratory under the supervision of Prof. Daniela Rus. My M.Eng. thesis focused on developing CARLA into a useful platform for validating autonomous driving algorithms. I was also a SuperUROP in the Spoken Language Systems group at MIT under the supervision of Dr. Jim Glass, and a UROP in the Aerospace Controls Laboratory under the supervision of Dr. Golnaz Habibi and Prof. Jonathan How.
rbb242 [at] cornell [dot] edu
Department of Computer Science
Cornell University
M.Eng., Electrical Engineering and Computer Science (MIT), 2019
Thesis title: Development of a Simulation-Based Platform for Autonomous Vehicle Algorithm Validation
S.B., Electrical Engineering and Computer Science (MIT), 2018