Mark Gerstein | |
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Born | Mark Bender Gerstein February 23 |
Citizenship | US |
Alma mater |
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Awards |
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Scientific career | |
Fields | Bioinformatics [3] |
Institutions | |
Thesis | Protein recognition: surfaces and conformational change (1993) |
Doctoral advisor | |
Other academic advisors | Michael Levitt (postdoc) |
Doctoral students | Werner Krebs [6] [7] |
Website |
Mark Bender Gerstein is an American scientist working in bioinformatics and Data Science. As of 2009 [update], he is co-director of the Yale Computational Biology and Bioinformatics program.
Mark Gerstein is Albert L. Williams Professor of Biomedical Informatics, Professor of Molecular Biophysics & Biochemistry, Professor of Statistics & Data Science, and Professor of Computer Science at Yale University. [8] In 2018, Gerstein was named co-director of the Yale Center for Biomedical Data Science. [9]
After graduating from Harvard College summa cum laude with a Bachelor of Arts in physics in 1989, Gerstein did a PhD co-supervised by Ruth Lynden-Bell [5] at the University of Cambridge and Cyrus Chothia at the Laboratory of Molecular Biology on conformational change in proteins, graduating in 1993. [10] He then went on to postdoctoral research in bioinformatics at Stanford University from 1993 to 1996 supervised by Nobel-laureate Michael Levitt.
Gerstein does research in the field of bioinformatics. [3] [11] [12] This involves applying a range of computational approaches to problems in molecular biology, including data mining and machine learning, molecular simulation, and database design. His research group has a number of foci including annotating the human genome, [13] personal genomics, cancer genomics, building tools in support of genome technologies (such as next-generation sequencing), analyzing molecular networks, and simulating macromolecular motions. Notable databases and tools that the group has developed include the Database of Macromolecular Motions, [6] [7] which categorizes macromolecular conformational change; tYNA, [14] which helps analyze molecular networks; PubNet, [15] which analyzes publication networks; PeakSeq, [16] which identifies regions in the genome bound by particular transcription factors; and CNVnator, [17] which categorizes block variants in the genome. Gerstein has also written extensively on how general issues in data science impact on genomics—in particular, in relation to privacy [18] and to structuring scientific communication. [19]
Gerstein's work has been published in peer reviewed scientific journals [20] [21] [22] and non-scientific publications in more popular forums. [23] His work has been highly cited, with an H greater than 100. [3] He serves on a number of editorial and advisory boards, including those of PLoS Computational Biology, Genome Research, Genome Biology, and Molecular Systems Biology. He has been quoted in the New York Times, [24] [25] [26] including on the front page, [13] and in other major newspapers. [27]
In addition to a W. M. Keck Foundation Distinguished Young Scholars award, [28] Gerstein has received awards from the US Navy, IBM, Pharmaceutical Research and Manufacturers of America, and the Donaghue Foundation. [29] He is a Fellow of the AAAS. [1] Other awards include a Herchel-Smith Scholarship supporting his doctoral work at Emmanuel College, Cambridge and a Damon Runyon Cancer Research Foundation Postdoctoral Fellowship. He is a contributor to a number of scientific consortia including ENCODE, [30] modENCODE, [31] [32] [33] 1000 Genomes Project, Brainspan, [34] and DOE Kbase.[ citation needed] He was made a Fellow of the International Society for Computational Biology in 2015. [2]
Mark Gerstein | |
---|---|
Born | Mark Bender Gerstein February 23 |
Citizenship | US |
Alma mater |
|
Awards |
|
Scientific career | |
Fields | Bioinformatics [3] |
Institutions | |
Thesis | Protein recognition: surfaces and conformational change (1993) |
Doctoral advisor | |
Other academic advisors | Michael Levitt (postdoc) |
Doctoral students | Werner Krebs [6] [7] |
Website |
Mark Bender Gerstein is an American scientist working in bioinformatics and Data Science. As of 2009 [update], he is co-director of the Yale Computational Biology and Bioinformatics program.
Mark Gerstein is Albert L. Williams Professor of Biomedical Informatics, Professor of Molecular Biophysics & Biochemistry, Professor of Statistics & Data Science, and Professor of Computer Science at Yale University. [8] In 2018, Gerstein was named co-director of the Yale Center for Biomedical Data Science. [9]
After graduating from Harvard College summa cum laude with a Bachelor of Arts in physics in 1989, Gerstein did a PhD co-supervised by Ruth Lynden-Bell [5] at the University of Cambridge and Cyrus Chothia at the Laboratory of Molecular Biology on conformational change in proteins, graduating in 1993. [10] He then went on to postdoctoral research in bioinformatics at Stanford University from 1993 to 1996 supervised by Nobel-laureate Michael Levitt.
Gerstein does research in the field of bioinformatics. [3] [11] [12] This involves applying a range of computational approaches to problems in molecular biology, including data mining and machine learning, molecular simulation, and database design. His research group has a number of foci including annotating the human genome, [13] personal genomics, cancer genomics, building tools in support of genome technologies (such as next-generation sequencing), analyzing molecular networks, and simulating macromolecular motions. Notable databases and tools that the group has developed include the Database of Macromolecular Motions, [6] [7] which categorizes macromolecular conformational change; tYNA, [14] which helps analyze molecular networks; PubNet, [15] which analyzes publication networks; PeakSeq, [16] which identifies regions in the genome bound by particular transcription factors; and CNVnator, [17] which categorizes block variants in the genome. Gerstein has also written extensively on how general issues in data science impact on genomics—in particular, in relation to privacy [18] and to structuring scientific communication. [19]
Gerstein's work has been published in peer reviewed scientific journals [20] [21] [22] and non-scientific publications in more popular forums. [23] His work has been highly cited, with an H greater than 100. [3] He serves on a number of editorial and advisory boards, including those of PLoS Computational Biology, Genome Research, Genome Biology, and Molecular Systems Biology. He has been quoted in the New York Times, [24] [25] [26] including on the front page, [13] and in other major newspapers. [27]
In addition to a W. M. Keck Foundation Distinguished Young Scholars award, [28] Gerstein has received awards from the US Navy, IBM, Pharmaceutical Research and Manufacturers of America, and the Donaghue Foundation. [29] He is a Fellow of the AAAS. [1] Other awards include a Herchel-Smith Scholarship supporting his doctoral work at Emmanuel College, Cambridge and a Damon Runyon Cancer Research Foundation Postdoctoral Fellowship. He is a contributor to a number of scientific consortia including ENCODE, [30] modENCODE, [31] [32] [33] 1000 Genomes Project, Brainspan, [34] and DOE Kbase.[ citation needed] He was made a Fellow of the International Society for Computational Biology in 2015. [2]