Prof. Bobu leads the Collaborative Learning and Autonomy Research Lab (CLEAR Lab), where they develop autonomous agents that learn to do tasks for, with, and around people. The lab goal is to ensure that these agents' behavior is consistent with human expectations, whether they interact with expert designers or novice end users.

Her research looks at: 1) getting the right data to supervise autonomous agents, whether directly from people or via priors; 2) enabling humans and robots to efficiently and interactively arrive at shared task representations; 3) quantifying and addressing misalignment caused by different human modeling choices. She grounds her work in experiments and user studies with AI systems like assistive robot arms or LLMs, and draws upon methods from deep learning, mathematical human modeling, inverse reinforcement learning, and Bayesian inference.

Prof. Bobu obtained her Ph.D. in Electrical Engineering and Computer Science at UC Berkeley with Anca Dragan. Before MIT, she was a Research Scientist at the AI Institute and an intern at NVIDIA in the Robotics Lab. Prior to her graduate degree, she received a B.S. in Computer Science at MIT.