Sandy Tanwisuth

PhD Student in Cognitive Neuroscience
University of California, Berkeley

About me!

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.[1] I look inside our brains to understand how we encode valuations. Then, I read the brain information to inspire value-aligned general intelligence.

[1] 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

Research Experiences

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