Summary
Ethan Meyers is a Visiting Associate Professor and computational scientist with a decade of experience bridging neuroscience, statistics, and computer science. With a PhD in Computational Neuroscience from MIT and faculty roles at Yale and Hampshire College, he blends rigorous research with practical teaching in statistical methods. His background as an MIT postdoc and Oberlin-trained computer scientist gives him both deep quantitative modeling skills and software fluency. He focuses on data-driven approaches to neural computation and statistics, bringing academic rigor to reproducible computational workflows. Based in Cambridge, MA, he sustains a long-term commitment to mentoring students and translating complex theory into usable analysis tools. An experienced researcher-instructor, he often works at the intersection of theory, code, and pedagogy rather than in mainstream product engineering.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Neuroscience, Doctor of Philosophy (PhD), Computational Neuroscience at Massachusetts Institute of Technology
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Oberlin College