Michael Scheid is an Assistant Investigator and biomedical data scientist with 11–14 years bridging MedTech industry and academic research to advance neurotechnology and clinical monitoring. He combines a PhD-level background in neural prosthetics with hands-on experience building ML-driven clinical wearable algorithms that predicted in-patient deterioration and helped secure an NIH R01 (2nd percentile) and a Nature Communications publication. At Catalyst Neuro and Plexon he built open-source neural data visualization tools and managed electrophysiology product lines, blending product strategy, training, and technical engineering. Known for translating high-density neural signals and local field potentials into clinically viable control and monitoring solutions, he has a track record of deploying real-time models and pitching medtech ventures to investors. Based in New York, he pairs rigorous computational neuroscience and data science skills with business acumen to move novel neurotechnologies from prototype to clinical impact.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience Neural Prosthetics, Doctor of Philosophy - PhD Neuroscience Neural Prosthetics at Northwestern University
Data Scientist Track Data Science, Data Scientist Track Data Science at DataCamp
Bachelor of Engineering (BE) Biomedical/Medical Engineering, Bachelor of Engineering (BE) Biomedical/Medical Engineering at Stony Brook University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.