Daniel Yamins
Associate Professor of Psychology and of Computer Science
Academic Appointments
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Associate Professor, Psychology
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Associate Professor, Computer Science
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Member, Bio-X
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Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
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Member, Wu Tsai Neurosciences Institute
Program Affiliations
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Symbolic Systems Program
Professional Education
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Ph.D., Harvard University, Applied Mathematics (2008)
Current Research and Scholarly Interests
Our lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
2024-25 Courses
- Advanced Statistical Modeling for Behavioral and Neural Sciences
PSYCH 254A (Spr) - Advancing Cognitive Science and AI with Cognitive-AI Benchmarking
PSYCH 267B (Win) - Large-Scale Neural Network Modeling for Neuroscience
CS 375, PSYCH 249 (Win) -
Independent Studies (16)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr) - Advanced Reading and Research
CS 499P (Aut, Win, Spr) - Curricular Practical Training
CS 390A (Aut, Win, Spr) - Directed Reading in Neurosciences
NEPR 299 (Aut, Win, Spr, Sum) - Graduate Research
NEPR 399 (Aut, Win, Spr, Sum) - Graduate Research
PSYCH 275 (Aut, Win, Spr) - Independent Project
CS 399 (Aut, Win, Spr) - Independent Study
SYMSYS 296 (Aut, Win, Spr) - Independent Work
CS 199 (Aut, Win, Spr) - Independent Work
CS 199P (Aut, Win, Spr) - Reading and Special Work
PSYCH 194 (Aut, Win, Spr) - Research
PHYSICS 490 (Aut, Win, Spr) - Senior Project
CS 191 (Aut, Win, Spr) - Special Laboratory Projects
PSYCH 195 (Aut, Win, Spr) - Supervised Undergraduate Research
CS 195 (Aut, Win, Spr) - Writing Intensive Senior Research Project
CS 191W (Aut, Win, Spr)
- Advanced Reading and Research
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Prior Year Courses
2023-24 Courses
- Bids for Scale in Psychological Science
PSYCH 267A (Win) - Large-Scale Neural Network Modeling for Neuroscience
CS 375, PSYCH 249 (Win)
2022-23 Courses
- Large-Scale Neural Network Modeling for Neuroscience
CS 375, PSYCH 249 (Spr)
2021-22 Courses
- Triangulating Intelligence: Melding Neuroscience, Psychology, and AI
CS 322, PSYCH 225 (Win)
- Bids for Scale in Psychological Science
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Josh Melander -
Postdoctoral Faculty Sponsor
Logan Cross, Stefan Stojanov -
Doctoral Dissertation Advisor (AC)
Honglin Chen, Alex Durango, Wanhee Lee -
Master's Program Advisor
Yasmina Abukhadra, Ananth Agarwal, Wensi Ai, Ayush Alag, Daphne Barretto -
Doctoral Dissertation Co-Advisor (AC)
Daniel Paul Kunin -
Doctoral (Program)
Honglin Chen, Khaled Jedoui, Klemen Kotar, Rahul Venkatesh