Summary
Carlos Ponce is an assistant professor and neuroscientist in Cambridge with a decade of experience probing how the primate visual system extracts meaning from sensory input. Trained with MD and PhD credentials from Harvard, he combines electrophysiology, cooling experiments, and machine learning to map object-recognition circuits in macaques and test computational models of visual development. His work spans hands-on lab techniques (microelectrode arrays) and advanced analyses (neural networks, SVMs, bootstrapping), and he has collaborated closely with statisticians, engineers and molecular biologists. Having moved from pathology residency through postdoctoral research at MIT to faculty roles at Washington University and Harvard Medical School, he blends clinical rigor with computational and experimental neuroscience. An understated strength is his track record mentoring students and contributing peer reviews to top journals, reflecting both deep domain expertise and academic leadership.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at Harvard University
Doctor of Medicine (M.D.), Neurobiology and Neurosciences, statistics, machine learning, Doctor of Medicine (M.D.), Neurobiology and Neurosciences, statistics, machine learning at Harvard Medical School
English, Spanish