Daniel Ru
Login to view DISC.As Director of Applied AI at Tempus AI, Daniel leads teams building machine learning systems to support patient care. His work combines clinical analytics and large-scale health data platforms, informed by his education at Columbia University and the University of Michigan. He has prior experience at Health Catalys and Explorys.
Daniel is driven by the human stories behind complex healthcare data. He focuses on how technology and small insights can change the course of a patients treatment, ensuring that every data model and prediction is grounded in its connection to a real life.
He is inspired by science, humanity, and what he calls "the quiet ways the world heals" to bring clarity from complexity.
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