Short 150-word profile
From GersteinInfo
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| - | Mark Gerstein is the Albert L Williams professor of Biomedical Informatics at Yale University. He is co-director the Yale Computational Biology | + | Mark Gerstein is the Albert L Williams professor of Biomedical Informatics at Yale University. He is the co-director the Yale Computational Biology & Bioinformatics Program and has appointments in the Department of Molecular Biophysics & Biochemistry and the Department of Computer Science. He received his AB in physics summa cum laude from Harvard College and his PhD in chemistry from Cambridge. He did post-doctoral work at Stanford and took up his post at Yale in early 1997. Since then he has published appreciably in the scientific journals, with >400 publications in total, including a number of them in prominent venues, such as Science, Nature, and Scientific American. (His current publication list is at http://papers.gersteinlab.org .) His research is focused on bioinformatics, and he is particularly interested in data science & data mining, macromolecular geometry & simulation, and human genome annotation & cancer genomics. |
| - | ( | + | (140 words, updated 30-Sep-2015) |
Revision as of 02:59, 1 October 2015
Mark Gerstein is the Albert L Williams professor of Biomedical Informatics at Yale University. He is the co-director the Yale Computational Biology & Bioinformatics Program and has appointments in the Department of Molecular Biophysics & Biochemistry and the Department of Computer Science. He received his AB in physics summa cum laude from Harvard College and his PhD in chemistry from Cambridge. He did post-doctoral work at Stanford and took up his post at Yale in early 1997. Since then he has published appreciably in the scientific journals, with >400 publications in total, including a number of them in prominent venues, such as Science, Nature, and Scientific American. (His current publication list is at http://papers.gersteinlab.org .) His research is focused on bioinformatics, and he is particularly interested in data science & data mining, macromolecular geometry & simulation, and human genome annotation & cancer genomics.
(140 words, updated 30-Sep-2015)
