Summary
Jesse Marshall is a research scientist blending neuroscience, biotechnology, and machine learning with 10 years of experience building end-to-end ML systems from experiment design and billion-frame data pipelines to deployed models for neural interfaces. His first-author work appears in Nature, Cell and Nature Methods and he has published at NeurIPS and ICLR, reflecting a rare combination of high-impact academic science and AI expertise. At Meta Reality Labs he develops low-friction neural control for AR/VR, and he co-founded/advises a Harvard–Duke spinout applying 3D movement tracking to better clinical trial endpoints. Trained at Stanford and Harvard, he invented optical neural recording technologies and markerless 3D animal pose tools and has secured >$1M in research funding. Known for turning experimental complexity into scalable pipelines, he bridges lab bench innovation with product-focused deployment.
10 years of coding experience
3 years of employment as a software developer
Diploma, Diploma at University High School
BS, Physics (Honors) and Mathematics (Honors), BS, Physics (Honors) and Mathematics (Honors) at University of Chicago
MS, PhD, Physics, MS, PhD, Physics at Stanford University