Summary
Adam Rich is a Staff Research Scientist with 11 years of experience applying deep learning and Bayesian methods to real-world problems, from accelerating MRI acquisition by 24x in his PhD work to deploying constrained CNNs and GNNs in industry. Based in Columbus, Ohio, he blends rigorous academic research with product-focused engineering—leading teams at Battelle and Upstart to build and productionize models for imaging, neural decoding, spectroscopy, and molecular property prediction. An avid Python developer fluent in PyTorch and TensorFlow, he also brings practical embedded and lab systems experience from earlier electrical engineering roles, enabling end-to-end solutions that consider hardware constraints. He mentors junior staff, writes proposals and statements of work, and has a track record of translating novel inference and sampling strategies into deployable pipelines.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at The University of Akron
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at The Ohio State University