
Eric Schadt, PhD
About Me
Eric Schadt, PhD, is Dean for Precision Medicine, Professor of Genetics and Genomic Sciences, and Mount Sinai Professor in Predictive Health and Computational Biology. He is also founder and CEO of Sema4, a Mount Sinai Venture
Dr. Schadt is an expert on the generation and integration of very large-scale sequence variation, molecular profiling and clinical data in disease populations for constructing molecular networks that define disease states and link molecular biology to physiology. He is known for calling for a shift in molecular biology toward a network-oriented view of living systems to complement the reductionist, single-gene approaches that currently dominate biology in order to more accurately model the complexity of biological systems. He has published more than 200 peer-reviewed papers in leading scientific journals, and contributed to a number of discoveries relating to the genetic basis of common human diseases such as diabetes, obesity, and Alzheimer’s disease.
Prior to joining Mount Sinai in 2011, he was Chief Scientific Officer at Pacific Biosciences. Previously, Dr. Schadt was Executive Scientific Director of Genetics at Rosetta Inpharmatics, a subsidiary of Merck & Co., and before Rosetta, Dr. Schadt was a Senior Research Scientist at Roche Bioscience. He received his B.A. in applied mathematics and computer science from California Polytechnic State University, his M.A. in pure mathematics from University of California, Davis, and his Ph.D. in bio-mathematics from University of California, Los Angeles (requiring Ph.D. candidacy in molecular biology and mathematics).
Language
Position
Research Topics
Bioinformatics, Computational Neuroscience, Epigenetics, Genetics, Human Genetics and Genetic Disorders
About Me
Eric Schadt, PhD, is Dean for Precision Medicine, Professor of Genetics and Genomic Sciences, and Mount Sinai Professor in Predictive Health and Computational Biology. He is also founder and CEO of Sema4, a Mount Sinai Venture
Dr. Schadt is an expert on the generation and integration of very large-scale sequence variation, molecular profiling and clinical data in disease populations for constructing molecular networks that define disease states and link molecular biology to physiology. He is known for calling for a shift in molecular biology toward a network-oriented view of living systems to complement the reductionist, single-gene approaches that currently dominate biology in order to more accurately model the complexity of biological systems. He has published more than 200 peer-reviewed papers in leading scientific journals, and contributed to a number of discoveries relating to the genetic basis of common human diseases such as diabetes, obesity, and Alzheimer’s disease.
Prior to joining Mount Sinai in 2011, he was Chief Scientific Officer at Pacific Biosciences. Previously, Dr. Schadt was Executive Scientific Director of Genetics at Rosetta Inpharmatics, a subsidiary of Merck & Co., and before Rosetta, Dr. Schadt was a Senior Research Scientist at Roche Bioscience. He received his B.A. in applied mathematics and computer science from California Polytechnic State University, his M.A. in pure mathematics from University of California, Davis, and his Ph.D. in bio-mathematics from University of California, Los Angeles (requiring Ph.D. candidacy in molecular biology and mathematics).
Language
Position
Research Topics
Bioinformatics, Computational Neuroscience, Epigenetics, Genetics, Human Genetics and Genetic Disorders
Video
Publications
Selected Publications
- Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data. Seong Keun Yoo, Conall W. Fitzgerald, Byuri Angela Cho, Bailey G. Fitzgerald, Catherine Han, Elizabeth S. Koh, Abhinav Pandey, Hannah Sfreddo, Fionnuala Crowley, Michelle Rudshteyn Korostin, Neha Debnath, Yan Leyfman, Cristina Valero, Mark Lee, Joris L. Vos, Andrew Sangho Lee, Karena Zhao, Stanley Lam, Ezekiel Olumuyide, Fengshen Kuo, Eric A. Wilson, Pauline Hamon, Clotilde Hennequin, Miriam Saffern, Lynda Vuong, A. Ari Hakimi, Brian Brown, Miriam Merad, Sacha Gnjatic, Nina Bhardwaj, Matthew D. Galsky, Eric E. Schadt, Robert M. Samstein, Thomas U. Marron, Mithat Gönen, Luc G.T. Morris, Diego Chowell. Nature Medicine
- An algorithm to identify patients aged 0–3 with rare genetic disorders. Bryn D. Webb, Lisa Y. Lau, Despina Tsevdos, Ryan A. Shewcraft, David Corrigan, Lisong Shi, Seungwoo Lee, Jonathan Tyler, Shilong Li, Zichen Wang, Gustavo Stolovitzky, Lisa Edelmann, Rong Chen, Eric E. Schadt, Li Li. Orphanet Journal of Rare Diseases
- Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq. Scott R. Tyler, Daniel Lozano-Ojalvo, Ernesto Guccione, Eric E. Schadt. Nature Communications