Thomas J. Fuchs
Scholar

Thomas J. Fuchs

Google Scholar ID: zh0Raz8AAAAJ
Icahn School of Medicine at Mount Sinai
Machine LearningComputational PathologyDigital PathologyDeep LearningArtificial Intelligence
Citations & Impact
All-time
Citations
8,766
 
H-index
35
 
i10-index
81
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Developed large-scale systems for mapping the pathology, origins, and progress of cancer, achieved by building a high-performance compute cluster to train deep neural networks at petabyte scale.
Research Experience
  • - Co-Director of the Hasso Plattner Institute for Digital Health at Mount Sinai
  • - Dean of Artificial Intelligence (AI) and Human Health
  • - Professor of Computational Pathology and Computer Science at the Icahn School of Medicine at Mount Sinai
  • - Former Director of the Warren Alpert Center for Digital and Computational Pathology at Memorial Sloan Kettering Cancer Center
  • - Associate Professor at Weill Cornell Graduate School for Medical Sciences
  • - Co-founder of Paige.AI
  • - Former Research Technologist at NASA’s Jet Propulsion Laboratory
  • - Visiting Scientist at the California Institute of Technology
Education
  • Doctor of Sciences in Machine Learning from ETH Zurich; MS in Technical Mathematics from Graz Technical University, Austria
Background
  • A scientist in the groundbreaking field of Computational Pathology, focused on using artificial intelligence to analyze images of tissue samples to identify disease, recommend treatment, and predict outcomes. He is currently the Co-Director of the Hasso Plattner Institute for Digital Health at Mount Sinai, Dean of Artificial Intelligence (AI) and Human Health, and Professor of Computational Pathology and Computer Science at the Icahn School of Medicine at Mount Sinai.
Co-authors
0 total
Co-authors: 0 (list not available)