Summary
Jack Lynch is a Senior Software Engineer in Applied ML Research with a decade of experience building and shipping vision and domain-adaptive learning systems across startups and research labs. Currently at Isomorphic Labs, he has a strong track record in implementing novel and canonical computer vision architectures in TensorFlow, Keras, and PyTorch, and has led ML efforts from geospatial domain adaptation to quantum-assisted generative modeling. His background blends physics, electrical engineering and nonlinear AI research—skills he has applied to few-/zero-shot learning, stability and complexity analysis, and practical APIs for model deployment. An entrepreneur-at-heart who co-founded multiple startups and an active club founder and advisor, he pairs deep theoretical interests (lottery tickets, domain adaptation, learning theory) with hands-on engineering that bridges research and product. He often explores less obvious intersections such as chaotic computing primitives integrated into image networks and quantum-classical generative models for medical imaging.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s of Science Physics Electrical Engineering Artificial and Human Cognition (Self-Designed), Bachelor’s of Science Physics Electrical Engineering Artificial and Human Cognition (Self-Designed) at North Carolina State University
High School, High School at Trinity School of Durham and Chapel Hill
English, Spanish