people

Jacob Yates

Principal Investigator

Studies active vision and how eye movements shape neural coding, using high-resolution eye tracking and statistical models of vision.

Tejasvi Kothapalli

PhD Student — Vision Science

Works at the intersection of neuroscience and AI (NeuroAI). B.S. in EECS from UC Berkeley (2022).

Dekel Galor

PhD Student — EECS

Interested in computational approaches to vision and neuroscience.

Hadi Vafaii

Postdoc — Vision Science

Builds brain-inspired generative models with sparse, recurrent representations to infer hidden causes of sensory data. B.Sc. Physics (Sharif), Ph.D. Physics (UMD, 2023). Enjoys tennis and music.

Dennis Perez

PhD Student — Vision Science

Models how eye movements alter retinal input statistics and optimal encoding, and compares predictions to biological recordings.

Deepthi Bannai

PhD Student — Neuroscience

Models computations underlying early visual processing, focusing on adaptive and dynamic mechanisms in the retina. B.S. Biomedical Engineering & Chemistry (UT Austin). Likes hiking and crafting.

Ryan Ressmeyer

PhD Student — Bioengineering

Designs high‑resolution digital eye trackers to study the early visual system. B.S. Electrical Engineering (Stanford). Enjoys climbing, gaming, woodworking, and Ultimate Frisbee.

Ziqi Dai

Undergraduate Researcher

Undergraduate researcher working on computational neuroscience and vision science projects in the lab.

Previous Students

• Ravi Srinivasan - Rotation Student
  Neuroscience PhD student studying neural circuits and computations underlying active inference in the visual cortex. Currently in the Adesnik Lab at UC Berkeley.
• Vidhi Sinha - Rotation Student
  Previous member of the Yates Lab with experience in computational neuroscience and vision research.
• Thelonious Cooper - Undergraduate Summer Researcher
  Electrical Engineering graduate from MIT, worked as a Junior Research Fellow at UC Berkeley CIVO. Currently starting EECS PhD at UC Berkeley.