Summary
Eric Trautmann is an interdisciplinary researcher and engineer with 11 years of experience at the intersection of systems neuroscience, machine learning, and electrical engineering. Currently an Adjunct Professor at UC Davis and a Research Scientist at Meta, he blends hands-on electrophysiology and neural prosthetics work with data-driven algorithm development. His trajectory spans academia and industry—from PhD research at Stanford’s Neural Prosthetic Systems lab to postdoctoral positions and engineering roles building sensors and control systems for aerospace and defense. Proficient in MATLAB, C/C++, and Python, he specializes in translating neural signals into actionable models and devices. Based in Palo Alto, he pairs deep experimental expertise with practical hardware design, an uncommon combination that accelerates translational neurotechnology. Colleagues note his ability to move projects from concept to deployed systems, bridging rigorous science and real-world engineering.
11 years of coding experience
8 years of employment as a software developer
MS Machine Learning and Robotics, MS Machine Learning and Robotics at Dartmouth College
PhD Neuroscience, PhD Neuroscience at Stanford University School of Medicine