Talmo Pereira is an Assistant Professor and computational neuroscientist with 13 years of experience bridging deep learning and biology. After a PhD in Neuroscience from Princeton, he led Talmo's Lab as a Salk Fellow and Principal Investigator, developing neural and behavioral models that span animals, plants, and engineered systems. He has industry experience from Google AI working on action-recognition models and a strong track record in building image- and video-processing pipelines for connectomics and ethology dating back to MIT and Caltech. Based in San Diego, he runs a lab that applies modern deep learning to fundamental questions in brain function and behavior while translating methods across domains. Talmo combines rigorous experimental neuroscience with hands-on ML engineering, often crafting bespoke computational tools rather than relying solely on off-the-shelf solutions. His work reflects an unusual breadth: from molecular and imaging studies to large-scale behavioral modeling.
13 years of coding experience
2 years of employment as a software developer
UMBC
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Princeton University
Contributions:78 commits, 83 pushes, 1 branch in 1 year
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