Summary
Matthew Roos is a neuroscience-inspired AI researcher and computational neuroscientist with 11+ years translating neural principles into machine learning and computer vision systems. At Johns Hopkins APL he leads work that constrains AI models with neuroscientific data, while his consultancy Binary Cognition prototypes biologically motivated algorithms and vision solutions for practical use. He blends deep academic training—a PhD in neuroscience—with hands-on engineering roots in signal processing and embedded DSP going back to the 1990s, giving him rare fluency across experiment, model, and production code. An adjunct instructor of ML and data science, he also pursues interests in evolution and artificial life that inform unconventional approaches to learning and representation.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at The Johns Hopkins University School of Medicine
MS, Biomedical Engineering, MS, Biomedical Engineering at Duke University
BS, Electrical Engineering, BS, Electrical Engineering at Missouri University of Science and Technology
MS, Electrical Engineering, MS, Electrical Engineering at Purdue University