Daniel Korenblum is a founder and engineer with 13 years of interdisciplinary experience commercializing nanomedicine and biotechnologies from prototype to product. Based in San Francisco, he blends hands-on computational and experimental expertise—spanning signal processing, machine learning, biophysical modeling, and wearable sensor analytics—to accelerate translation of novel sensors and diagnostics. He has driven R&D at startups and labs (Genia, Otherlab, Bayes Impact, UCSF) and now leads nanobio.md to build infrastructure for rapid prototyping of nanobiomedical products. Known for pragmatic problem-solving and separating signal from noise, he pairs deep technical rigor with a clear product and commercialization focus. An uncommon strength is his track record across both single-molecule biophysics and human-motion data, enabling him to bridge microscopic measurement techniques with patient-centered applications.
13 years of coding experience
14 years of employment as a software developer
Coursera
Udacity
B.A, Biochemistry and Molecular Biology; Molecular Biophysics, B.A, Biochemistry and Molecular Biology; Molecular Biophysics at Reed College
M.S, Biophysics, M.S, Biophysics at Cornell University
M.S, Computational and Mathematical Engineering, M.S, Computational and Mathematical Engineering at Stanford University
Contributions:253 commits, 3 pushes in 2 years 6 months
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