The Health-Tech Podcast
#111: The Story of with Charles Fisher
Jul 9, 2020 · 58 min
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Charles is a scientist with interests at the intersection of physics, machine learning, and computational biology and is the founder of . Previously, Charles worked as a machine learning engineer at Leap Motion and a computational biologist at Pfizer. He was a Philippe Meyer Fellow in theoretical physics at École Normale Supérieure in Paris, France, and a postdoctoral scientist in biophysics at Boston University. Charles holds a Ph.D. in biophysics from Harvard University and a B.S. in biophysics from the University of Michigan.

Unlearn creates Digital Twins to populate Intelligent Control Arms in clinical studies. While others leverage existing data, Unlearn generates a new type of data, for any type of patient. A Digital Twin is a longitudinal, computationally generated clinical record that describes what would have happened if a specific patient received a placebo. |

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