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Paul Dagum is an entrepreneur, physician and computer scientist with a track record of innovation in healthcare, cybersecurity and supply chain over four successful venture-backed companies as founder, CSO, CTO and CEO. He has published 80+ peer-reviewed articles and been awarded 20+ patents in computer science and medicine. Dagum has served as Applied Cognition’s CEO since its inception and is the inventor of the company’s investigational device that noninvasively measures glymphatic function in humans. Prior to Applied Cognition, Dagum developed and patented continuous digital biomarkers of central-nervous system function using algorithms from patterns of human-computer smartphone interaction. Dagum conceived and led two large multiyear clinical studies to validate the digital biomarkers against neurocognitive gold-standard tests. Dagum founded Mindstrong to use these sensitive measures of changes in cognition to deliver virtual care to people with serious mental illness.

While leading NSF-funded research and completing medical school and residency at Stanford, Dagum made several significant contributions to AI: he developed Dynamic Bayesian Networks that proved to be foundational for a wide range of applications and are still used today in speech recognition, digital forensics, protein sequencing and robotics. During this same period, Dagum proved several foundational results in probabilistic reasoning on Bayesian networks, the representational models used in Bayesian deep learning approaches today. In 2008 Dagum developed and patented the first high-performance distributed relational data system on a map-reduce architecture (“SQL on Hadoop”) and led its release as the open source project Cloudbase. Today SQL on Hadoop is offered by global database and big data infrastructure companies, and is used widely to solve some of the hardest big-data science problems. Dagum received an M.D. from Stanford University and a Ph.D. in theoretical computer science and M.Sc. in theoretical physics both from the University of Toronto.