Public Page - Thomas Fuchs

Member Bio:

Thomas J. Fuchs is leading the Medical Machine Learning and Computational Pathology group at Memorial Sloan Kettering Cancer Center. He is Associate Professor for Machine Learning at Weill-Cornell University, and director of the Warren Alpert Center for Digital and Computational Pathology in New York City.

Dr. Fuchs' laboratory at MSKCC focuses on advancing the diagnosis and treatment of cancer through large-scale machine learning in the field of Computational Pathology. His lab built the first clinical-grade Artificial Intelligence in pathology and is developing computational models for correlating the tissue phenotype with the genotype, treatment response and patient outcome.

Before joining MSKCC, Dr. Fuchs completing his MS (Dipl.-Ing.) in Technical Mathematics from the Technical University Graz, Austria, and earned a Dr. Sc. in Machine Learning from ETH Zurich including a PhD program on System Biology and Medicine from ETH’s CCSPMD in Switzerland. After his postdoctoral studies at the California Institute of Technology’s Department of Electrical Engineering and Computation and Neural Systems, he joined NASA as a research technologist in the Engineering and Science Division of NASA’s Jet Propulsion Laboratory in Pasadena, California.