James Mazer is a research scientist who transitioned from a two-decade academic career studying biological vision to applying neuroscience principles to machine learning at a startup. He earned a PhD in Biology from Caltech, trained at MIT and UC Berkeley, and led a lab at Yale before relocating to Montana State University to investigate how single neurons encode complex visual features and how vision interacts with eye movements and attention. At Taut since 2021, he translates advanced system-identification methods and novel neurophysiological techniques into ML/AI approaches inspired by natural vision. Based in Oakland, CA, he combines deep experimental expertise with practical experience moving research into product-focused engineering. An underappreciated strength is his long track record of designing bespoke quantitative assays and analysis pipelines that bridge single-neuron physiology and computational models.
13 years of coding experience
22 years of employment as a software developer
California Institute of Technology
Bachelor's degree, Psychology, Bachelor's degree, Psychology at Yale University
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