Jay Alan Hennig

Jay Alan Hennig is an Assistant Professor in the Department of Neuroscience at Baylor College of Medicine, focusing on computational neuroscience and learning processes. His work integrates machine learning, artificial intelligence, and statistical methods to study how neural populations adapt during learning.

Education:

• Bachelor of Science from University of Texas at Austin (May 2011)
• Doctor of Philosophy from Carnegie Mellon University (May 2021)
• Postdoctoral Fellowship at Harvard University (Cambridge)

Research Interests: The Hennig Lab explores how coordinated changes in neural activity across billions of neurons enable learning in animals and humans. By applying computational models and statistical frameworks, the lab aims to uncover foundational principles of adaptive behavior.

Labs/Teams: Principal Investigator of the Hennig Lab (website), dedicated to advancing understanding of neural mechanisms underlying learning and plasticity.

Grants/Advising: No specific grants or advisees listed in the provided information.