Summary
Samuel Solomon is a research scientist in Seattle with nine years of multidisciplinary experience at the intersection of wearable electronics, mental health, and affective AI. He holds advanced degrees from Caltech and MIT and has translated theoretical work—applying Lie manifolds to physiological signal modeling—into a real-time, skin-conformal sensing and closed-loop anxiety modulation platform. Samuel co-founded accessible-tech startups (Vibrant Life, Turtle Pond, Mind Network) that blend user-centered design, crowdsourced data, and pragmatic funding wins from MIT Sandbox, demonstrating entrepreneurial drive alongside rigorous research. His background spans hardware and software across Google, NASA/JPL, and academic labs, from building faster starcam calibration pipelines to sequencing ISS microbes and designing quantum imaging experiments. Notably, he couples deep theoretical insights with tangible products and datasets that enable cross-device generalization in low-data regimes.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Physics and Chemistry-Biology, Bachelor's degree, Physics and Chemistry-Biology at Massachusetts Institute of Technology
California Institute of Technology