Summary
Collin Schlager is a machine learning and computational biology–trained engineer and founder who builds autonomous systems that bridge AI with natural and neural systems. With nine years of experience spanning quantum optics, computational pathology, drug discovery, and neural interface research at Meta—where he co-authored NeurIPS and Nature papers—he excels at taking high-fidelity sensing and time-series models from lab prototypes to shared datasets and production deployments. As Co-Founder of Antioch he helps teams evaluate and scale autonomous systems, combining hardware, sensor integration, and state-space/Bayesian modeling expertise rooted in his Stanford CS/AI training. He has a track record of open-source impact (contributing a JAX-based SSM library later merged into Google Research’s Dynamax) and experience releasing public datasets to accelerate reproducible research. Equally comfortable in wet labs and low-level embedded code, Collin thrives in interdisciplinary teams solving societally relevant problems. Based in New York, he pairs academic rigor with product-focused delivery to move complex biological and neurotech systems into real-world use.
9 years of coding experience
4 years of employment as a software developer
High School Enrollment Mathematics, High School Enrollment Mathematics at University of Colorado Boulder
Fairview High School
Master's degree Computer Science (Artificial Intelligence), Master's degree Computer Science (Artificial Intelligence) at Stanford University
English, Spanish