Tom Woolf is a Professor and technology entrepreneur blending 30+ years of academic research with a decade of focused industry experience in high-performance computing, machine learning, and streaming data systems. Based in Baltimore, he leads large-scale computational pipelines at Johns Hopkins University and co-founded DaiWare to translate continuous patient and lab data into actionable metabolic insights via cloud-native ML platforms. His work spans cellular and molecular biophysics, stochastic processes, and models of physiological function, applying graphical models and time-series analysis to real-time health data. Notably, he builds new computing frameworks optimized for streaming biomedical data — a practical bridge between deep biophysics expertise (Yale Ph.D.) and product-driven healthcare analytics.
10 years of coding experience
Ph.D, Biophysics/Neuroscience, Ph.D, Biophysics/Neuroscience at Yale University
B.S., Physics, B.S., Physics at Stanford University
Contributions:226 commits, 93 pushes, 8 branches in 2 years 3 months
healthcircadiancompassmobile-healthmonitoring
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