Summary
Michael Nunez is an Assistant Professor at the University of Amsterdam with a decade of experience developing computational neurocognitive models that link behavior, EEG/MEG, and fMRI to decision-making processes. He leads an independent research program in the Psychological Methods group, teaches and mentors graduate and undergraduate students, and applies hierarchical Bayesian and statistical techniques to integrate neural and behavioral data. Previously he held research roles at UC Irvine and UCLA, where he combined intracranial recordings, neuronal data, and noninvasive signals to dissect cognitive mechanisms and clinical markers such as epilepsy. Trained with a PhD in Cognitive Sciences and an MS in Statistics, he brings strong quantitative rigor and a rare blend of neuroscience, statistics, and computational modeling to address both basic and translational questions. An underappreciated strength is his consistent focus on bridging single-neuron and population-level signals to build interpretable models that generalize across experimental modalities.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Economics, Bachelor of Science (BS), Mathematics, Economics at Tulane University
Doctor of Philosophy (PhD), Cognitive Sciences, Concentration in Cognitive Neuroscience, Doctor of Philosophy (PhD), Cognitive Sciences, Concentration in Cognitive Neuroscience at University of California, Irvine
English