How does the brain extract relevant visual features from the rich, dynamic visual input that typifies active exploration, and how does the neural representation of these features support visual navigation?
Jeffrey Liu is a Research Assistant in the lab who graduated with a BS in Data Science in December 2025. He is interested in applying data science and machine learning to diverse fields of study. Specifically, he is focused on how we can better understand the relationship between the brain and visual perception.
Outside of research, Jeffrey likes to play golf and hike. He also regularly keeps his eye on the financial market and enjoys managing his own portfolio.
Education
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BS in Data Science, 2025
University of California, Santa Barbara
