Thomas Fuchs is director of computational pathology at Memorial Sloan Kettering Cancer Center and teaches biomedical machine learning as associate professor at Weill-Cornell in New York City. Excited by the tremendous potential of large-scale machine learning in medicine, Thomas is leading the transformation of pathology from a qualitative to a quantitative discipline at Memorial Sloan Kettering, the world's leading cancer center. Previously, Thomas was a rocket scientist at NASA's Jet Propulsion Laboratory, where he developed computer vision systems for space exploration to make sure the Mars Rover Curiosity didn't get stuck. Thomas conducted his postdoctoral studies in computer vision at the California Institute of Technology after receiving a Ph.D. in machine learning from ETH Zurich and an M.S. in mathematics from TU Graz.