Jay Hennig
Assistant Professor Of Neuroscience at Baylor College of Medicine
Houston, Texas, United States
Summary
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Senior🎓
Top SchoolJay Hennig is an Assistant Professor of Neuroscience and former Harvard postdoc who combines a PhD in Machine Learning and Neural Computation with 13 years of research and industry experience to study how neural populations form reward predictions. His work blends reinforcement learning theory, artificial neural networks, and in vivo recordings from mouse prefrontal cortex, informed by a strong foundation in pure mathematics and statistical methods. Before academia he built optimization-driven software as a consultant and engineer, giving him practical experience in C++, Python, and large-scale problem framing. Comfortable bridging code and theory, he brings an uncommon mix of applied software engineering, rigorous statistical analysis, and hands-on neuroscience experimentation to questions about learning and decision-making.
13 years of coding experience
8 years of employment as a software developer
B.Sc. Mathematics, B.Sc. Mathematics at The University of Texas at AustinDoctor of Philosophy (PhD), Machine Learning and Neural Computation, Doctor of Philosophy (PhD), Machine Learning and Neural Computation at Carnegie Mellon University
Github Skills (88)
python10
multiple-pages10
matlab10
bit10
pytorch10
complexity10
twitter9
variational-autoencoder9
music9
package-management9
parallel9
package-control9
deep-learning9
optimization9
ray9
Programming languages (9)
Github contributions (5)
mobeets/psychometric-fits
Jun 2014 - Jun 2014
Contributions:27 commits in 6 days
mobeets/nflplays
Sep 2013 - Apr 2015
Contributions:15 commits, 1 push in 1 year 6 months
play-by-playnfl
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