Hello! I'm Sandy, a PhD student in Cognitive Neuroscience at UC-Berkeley, Psychology. I aim to understand decision-making algorithms implemented in human brains and learning agents. I utilize reinforcement learning as a common language in my research. I look inside our brains to understand how we encode valuations. Then, I read the brain information to inspire value-aligned general intelligence.  David Silver. UCL Course on RL. Advanced Topics 2015 (COMPM050/COMPGI13). Reinforcement Learning.
University of California, Berkeley PhD in Cognitive Neuroscience, Psychology 2019 - 2024 Barrett the Honors College, Arizona State University BS in Mathematics-Statistics Minors in Cognitive Science and Symbolic Systems 2013 - 2017
Graduate Student Researcher at UC Berkeley August 2019 to present Research Assistant at Caltech Advisor: Dr. John O'Doherty August 2017 to July 2019 Honors Thesis Student at ASU Advisors: Dr. Samuel McClure and Dr. Gene Brewer December 2015 to August 2017
Kiyohito Iigaya, Sanghyun Yi, Iman Wahle, Sandy Tanwisuth, and John P. O'Doherty, "Science meets art: Attribute-based computation as a general principle for building subjective value", Reinforcement Learning and Decision Making(RLDM) Conference , Montréal, Québec, Canada, 2019.
Eva R. Pool, Mladena Aleksic, Anna Cremer, Rani Gera, Dylan A. Manfredi, Omar D. Perez, Stephanie Quail, Sandy Tanwisuth, Ahmet Ceceli, Elizabeth Tricomi, Bernard Balleine, Gideon Nave, Tom Schonberg, Lars Schwabe, and JohnP. O’Doherty, “Does anxiety moderate training duration effects on habits in humans? Determining the effects of anxiety on the experimental induction of habits in an instrumental outcome devaluation task.”, Manuscript Under-review.
Jaron Colas, Sandy Tanwisuth, and John P. O'Doherty, "High resolution-functional neuroimaging of human reward structures", Manuscript Under-review