Jake Gonzales

Personal Site

Jake is a graduate student in the Department of Electrical and Computer Engineering and is advised by Lillian Ratliff, and collarborates closely with CTRL. His research lies at the intersection of control theory, machine learning, optimization, uncertainty quantification, and game theory, with a specific focus on decision-making in multi-agent systems. He is particularly interested in developing theoretical frameworks and principled algorithms that enable autonomous agents to interact safely and efficiently in uncertain, real-world environments.

Jake is a recipient of the NSF Graduate Research Fellowship (2025) and an Amazon Fellow (2024-25).


Publications

  1. Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control
    Gonzales, J., Mizuta, K., Leung, K.*, and Ratliff, L.*
    In IEEE/RSJ Int. Conf. on Intelligent Robots & Systems, 2025 (accepted)

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