Jason T. Isa

Research Interest

My PhD research is at the intersection of control theory, game theory, and multi-agent interaction. Currently, I study how adaptive agents can coordinate with other decision-makers under information asymmetry, such as when one agent’s objective is private, difficult to measure, or unavailable. This includes developing algorithms that allow a helper agent to improve interaction outcomes using only observed actions, without access to the other agent’s cost function, cost values, or gradients.

I am motivated by applications where personalization, adaptation, and coordination are essential, including human-machine interaction, assistive robotics, adaptive exoskeletons, and AI-AI interaction. Through this work, I aim to design interactive algorithms that are theoretically grounded, experimentally validated, and useful for real-world multi-agent systems. I am co-advised by Dr. Sam Burden and Dr. Lillian Ratliff.

As an undergraduate at UC San Diego, I worked in Professor Mohan Trivedi’s Laboratory for Intelligent & Safe Vehicles (LISA). At LISA, I pursued research in computer vision and robotics in the context of intelligent and safe automobiles. I used my research to understand human gaze, estimate driver state, and predict vehicle trajectories in real world driving scenarios. I also researched with the Atkinson Behavioral Research Lab assisting in the direction and management of participants, collection of data, execution of experimental procedure, transaction of experimental funds, training of new research assistants, and any other duties relevant to the conduction of behavioral research studies in laboratory and field settings.

Education

PhD in Electrical Engineering. University of Washington, Seattle – IN PROGRESS

MS in Applied Mathematics. University of Washington, Seattle – IN PROGRESS

BS in Electrical Engineering. UC San Diego – 2022

BS in Management Science. UC San Diego – 2022

Minor in Mathematics. UC San Diego – 2022

Minor in Entrepreneurship & Innovation. UC San Diego – 2022

CV

Current CV available by email (jisa@uw.edu).