Summary
Adrian Bondy is an Associate Research Scholar at Princeton University with over a decade studying how large neural populations coordinate perception and decision-making. He designs and deploys high-yield electrophysiology systems—recording thousands of neurons across dozens of brain regions in freely moving animals—to map brain-wide interactions during perceptual decisions. His work combines experimental innovation with advanced signal processing, statistical analysis, and computational modeling, producing large-scale datasets ( >10,000 neurons) that revealed novel striatal circuit roles in evidence accumulation. Earlier career highlights include showing that task-dependent spike-count correlations reflect feedback rather than noise, reshaping views of cortical computation. Based in New Jersey, he bridges rigorous theory and hands-on engineering to push the limits of neural recording and interpretation.
10 years of coding experience
PhD, Neuroscience, PhD, Neuroscience at Brown University
BS and BA, Cognitive Science, BS and BA, Cognitive Science at McGill University
Chinese, Italian, French, English