Summary
Jake Russin is a postdoctoral research associate at Brown University who bridges computational neuroscience, cognitive science, and machine learning with nine years of research experience. He develops biologically inspired and neuroscience-informed deep learning models to study compositional generalization, hierarchical reinforcement learning, and predictive vision, and conducts human experiments to anchor models in behavior. Trained under leaders like Michael Frank, Ellie Pavlick, Randall O’Reilly, and Yoshua Bengio, he has applied his skills at top labs and industry research teams (Meta, Microsoft, Mila) on compositionality and interpretability in neuro-symbolic and NLP systems. Beyond publications and code, he combines wet‑lab experience in neurobiology with advanced computational methods—an uncommon blend that informs his pursuit of more biologically plausible AI.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Neuroscience, Philosophy, 3.7, Bachelor of Arts (B.A.), Neuroscience, Philosophy, 3.7 at Colorado College
Non-degree students program, 3.8, Non-degree students program, 3.8 at Yale University
Summer courses, Mathematics, 4.0, Summer courses, Mathematics, 4.0 at University of Maryland
Doctor of Philosophy - PhD, PSYCHOLOGY, 4.0, Doctor of Philosophy - PhD, PSYCHOLOGY, 4.0 at University of California, Davis
Doctor of Philosophy - PhD, Psychology and Neuroscience, 3.98, Doctor of Philosophy - PhD, Psychology and Neuroscience, 3.98 at University of Colorado Boulder