Summary
Marcelo Mattar is an assistant professor and computational neuroscientist with 11 years of experience applying theoretical and empirical methods—spanning machine learning, statistics, and data analysis—to understand cognition and brain function. He holds a PhD in Cognitive Neuroscience and a master’s in Statistics from the University of Pennsylvania, and his career includes research and faculty roles at Princeton, UC San Diego, Cambridge (Newton Fellowship), and NYU. Marcelo blends rigorous mathematical training from an engineering undergraduate background with hands-on empirical work, translating models into testable experiments and data-driven insights. Known for bridging theory and experiment, he develops quantitative tools that illuminate neural computation and behaviour while mentoring the next generation of interdisciplinary researchers.
11 years of coding experience
6 years of employment as a software developer
Visiting Student, Brain and Cognitive Sciences, Visiting Student, Brain and Cognitive Sciences at Massachusetts Institute of Technology
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Instituto Tecnológico de Aeronáutica - ITA
Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience), Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience) at University of Pennsylvania