Sandy Tanwisuth

Sandy is an incoming 2024 CHAI intern working on Multi-agent Learning and Cooperative AI.

Sandy’s broadly interested in Cooperative AI by addressing cooperation from an individual agent’s incentives, and focusing on mechanism design for systems that incentivize multi-agent cooperation. Sandy draws research inspirations in their work from their interdisciplinary research training including but not limited to cognitive science, computational neuroscience, behavioral economics, game theory, and social sciences.

Sandy was fortunate enough to be trained by many great scientists including Samuel M. McClure, John P. O’Doherty, Andrew Kayser, and Steven T. Piantadosi and the amazing people in their respective labs.

While doing research in Multi-agent Learning independently, Sandy was also fortunate to collaborate with several fantastic people at Noisebridge and wonderful Multi-agent Learning researchers at UMD MARL Reading Group, The Multi-Agent Learning Seminar, and Cooperative AI Foundation.

At CHAI, Sandy will be working with Niklas Lauffer on Representation Learning for Effective Coordination. Learn more on Sandy’s personal website.

Apart from research, Sandy also believe in being the change they want to see in the world and doing the best that they can to uplift lives. That is why currently Sandy is doing the best they can to support works in technical AI Safety space generally.