Tom Vanasse is a Senior Machine Learning Engineer with 11 years of experience applying ML to sleep and healthcare, currently building production models at EnsoData in Madison, WI. He combines a PhD in Medical Physics with postdoctoral research at the Wisconsin Institute for Sleep and Consciousness, where he earned an NIH F32 award and developed ML decoders to probe neural memory consolidation. His background spans neuroimaging, multivariate analysis, and data infrastructure—work that included launching the BrainMap VBM® database and creating research-grade Python bindings for consumer eye-tracking hardware. Equally at home in research and product settings, he translates complex neuroscience signals into robust analytics and clinical tools.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Medical Physics (Diagnostic Imaging), Doctor of Philosophy (Ph.D.), Medical Physics (Diagnostic Imaging) at The University of Texas Health Science Center at San Antonio
Bacholer's of Science in Physics & Computer Science Certificate, Bacholer's of Science in Physics & Computer Science Certificate at University of Wisconsin-Madison
Contributions:51 pushes, 1 branch in 1 year 10 months
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Tom Vanasse - Senior Machine Learning Engineer at EnsoData