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 of the Yale Computational Biology & Bioinformatics Program and the Center for Biomedical Data Science. He has appointments in the Departments of Molecular Biophysics & Biochemistry, Computer Science and Statistics & Data 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 >550 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 biomedical data science, and he is particularly interested in data mining, macromolecular geometry & simulation, human-genome annotation, disease genomics and genomic privacy. |
| - | ( | + | (151 words, updated 1-Dec-2019) |
| + | <HR> | ||
| + | [http://info.gersteinlab.org/index.php?title=Short_150-word_profile&oldid=3783 older 2015 version] | ||
Latest revision as of 20:05, 1 December 2019
Mark Gerstein is the Albert L Williams professor of Biomedical Informatics at Yale University. He is the co-director of the Yale Computational Biology & Bioinformatics Program and the Center for Biomedical Data Science. He has appointments in the Departments of Molecular Biophysics & Biochemistry, Computer Science and Statistics & Data 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 >550 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 biomedical data science, and he is particularly interested in data mining, macromolecular geometry & simulation, human-genome annotation, disease genomics and genomic privacy.
(151 words, updated 1-Dec-2019)
