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Jacob Yates is an Assistant Professor in Optometry and Vision Science at the University of California, Berkeley. His doctoral research in neuroscience was conducted at the University of Texas at Austin, where he worked with prominent researchers including Alex Huk and Jonathan Pillow. Following his doctorate, he completed postdoctoral work at the University of Rochester under the guidance of Jude Mitchell, Greg DeAngelis, and Michele Rucci, as well as at the University of Maryland collaborating with Dan Butts. His research focuses on understanding how populations of neurons in the cortex encode information about the visual world. His lab employs statistical machine learning models to analyze neural activity and human perception, with a particular emphasis on the information generated by eye movements and how it is utilized by cortical circuits. Jacob is enthusiastic about returning to the Bay Area, where he grew up, and is looking forward to being an active part of the optometry community at UC Berkeley. In his spare time, he enjoys cycling, hiking, traveling, and exploring new culinary experiences.
University of California, Berkeley • Berkeley, CA
Teaching and conducting research in the field of Optometry and Vision Science.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.