Eric Schadt

Eric Schadt
Born (1965-01-31) January 31, 1965 (age 59)
St. Joseph, Michigan, United States
Alma materCalifornia Polytechnic State University
University of California, Davis
University of California, Los Angeles
Scientific career
Institutions
Sema4
Icahn School of Medicine at Mount Sinai
Sage Bionetworks

Eric Emil Schadt (born January 31, 1965) is an American mathematician and computational biologist. He is founder and former chief executive officer of Sema4, a patient-centered health intelligence company, and dean for precision medicine and Mount Sinai Professor in Predictive Health and Computational Biology at the Icahn School of Medicine at Mount Sinai. He was previously founding director of the Icahn Institute for Genomics and Multiscale Biology and chair of the Department of Genetics and Genomics Sciences at the Icahn School of Medicine at Mount Sinai.

Schadt's work combines supercomputing and advanced computational modeling with diverse biological data to understand the relationship between genes, gene products, other molecular features such as cells, organs, organisms, and communities and their impact on complex human traits such as disease.[1] 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 to more accurately model the complexity of biological systems.[2][3] Schadt has also worked to engage the public, encouraging people to participate in scientific research and helping them understand privacy concerns around DNA-based information.[4][5]

  1. ^ David Ewing Duncan (2009-08-24). "Enlisting Computers to Unravel the True Complexity of Disease". The New York Times. Retrieved 2017-06-17.
  2. ^ Junod, Tom (2011-03-22). "Eric Schadt Profile - Interview with Eric Schadt Pacific Biosciences". Esquire.com. Retrieved 2017-06-17.
  3. ^ "The Schadt Equation | GEN". Genengnews.com. 2013-01-15. Retrieved 2017-06-17.
  4. ^ Schadt EE (2012). "The changing privacy landscape in the era of big data". Molecular Systems Biology. 8: 612. doi:10.1038/msb.2012.47. PMC 3472686. PMID 22968446.
  5. ^ ""Genetic Heroes" May Be Key to Treating Debilitating Diseases". Scientific American. 2014-05-30. Retrieved 2017-06-17.