join us
Interested in joining the lab?
I'm currently not looking to hire, but I'm always interested in talking with talented students and postdocs if you're interested in working together. This includes setting up potential rotations for interested students.
The work we do is fairly technical, so it is helpful to have some existing skills in machine learning and statistical modeling. Students and postdocs will be encouraged to connect across these multiple topics.
Research Areas
Our lab focuses on active vision and neural computation. We investigate how brains use vision to understand and move about the world, with research spanning:
- Active vision and generative models - Understanding cortical algorithms that use motion-generated information, combining eye-tracking with statistical models of visual input and neural activity
- Foveal processing and eye movements - Studying how primate foveal specialization and eye movements shape encoding and perception
- Machine learning models of visual neural activity - Developing predictive models for cortical and subcortical visual areas in free-viewing monkeys
Computational Skills
Our research is highly computational and requires strong technical skills. Ideal candidates typically have:
- Background in machine learning, physics, mathematics, electrical engineering, or related fields
- Strong foundation in mathematics, machine learning, or statistics
- Prior experience in computational neuroscience is valuable
- Proficiency in developing and analyzing data-driven models and statistical analyses
How to Connect
If you're interested in the lab's research and think you might be a good fit, I'd love to hear from you! Even though I'm not actively hiring, I'm always open to discussing potential collaborations and research opportunities.
Shoot me an email at yates@berkeley.edu if you're interested!
When reaching out, please include information about your background, research interests, and why you'd like to work with us. I'm particularly interested in hearing from students and researchers who are passionate about the intersection of vision science, neuroscience, and computational methods.