275-word profile overview

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Mark Gerstein is the Albert L. Williams Professor of Biomedical Informatics at Yale. He is associated with the Departments of Molecular Biophysics & Biochemistry, Computer Science and Statistics & Data Science. He is Co-Director (and founder) of the Computational Biology & Bioinformatics PhD Program and Co-Director (and founder) of the Yale Center for Biomedical Data Science. He has chaired the analysis groups of numerous national and international projects, including ENCODE, modENCODE, PsychENCODE, 1000 Genomes, PCAWG, ERCC, and SCORCH. Prof. Gerstein completed his PhD training in Computational Chemistry and Biophysics at Cambridge University, followed by postdoctoral training at Stanford. Since then, he has published >600 manuscripts in total, including several in prominent venues, such as Science, Nature, and Cell, with an H-index of >175. He has also written popular science pieces for venues such as Scientific American and the Wall Street Journal. He is a specialist in bioinformatics with a particular interest in large-scale data science, especially as it pertains to personal genome analyses. Current research foci in his lab include disease genomics (particularly neurogenomics and cancer genomics), human genome annotation, genomic privacy, network science (especially gene regulatory networks), wearable and molecular imaging data analysis, text mining of the biological science literature and macromolecular simulation. Prof. Gerstein has received awards such as being elected as a fellow of AAAS and the International Society of Computational Biology. His lab currently comprises >35 students and trainees and he has placed >35 of his past alumni/ae in academic faculty positions and an equivalent number in industry positions. He also has mentored >200 Yale undergraduates and has taught undergraduate and graduate courses in bioinformatics at Yale for >20 years.
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Mark Gerstein is the Albert L. Williams Professor of Biomedical Informatics at Yale. He is associated with the Departments of Molecular Biophysics & Biochemistry, Computer Science and Statistics & Data Science. He is Co-Director (and founder) of the Computational Biology & Bioinformatics PhD Program. He has chaired the analysis groups of numerous national and international projects, including ENCODE, modENCODE, PsychENCODE, 1000 Genomes, PCAWG, ERCC, and SCORCH. Prof. Gerstein completed his PhD training in Computational Chemistry and Biophysics at Cambridge University, followed by postdoctoral training at Stanford. Since then, he has published >600 manuscripts in total, including several in prominent venues, such as Science, Nature, and Cell, with an H-index of >175. He has also written popular science pieces for venues such as Scientific American and the Wall Street Journal. He is a specialist in bioinformatics with a particular interest in large-scale data analysis, especially as it pertains to personal genome analyses. Current research foci in his lab include disease genomics (particularly neurogenomics and cancer genomics), human genome annotation, genomic privacy, network science, wearable and molecular image data analysis, text mining of the biological science literature and macromolecular simulation. Prof. Gerstein has received awards such as being elected as a fellow of the AAAS and ISCB. His lab currently comprises >35 trainees and he has placed >35 of his past alumni/ae in academic faculty positions and an equivalent number in industry positions. He has mentored >200 Yale undergraduates and has taught undergraduate and graduate courses in bioinformatics at Yale for >20 years. He has also consulted for many companies and currently serves on several corporate advisory boards.  
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274 words, 16 June 2021
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270 words, 3 Aug 2022

Latest revision as of 04:00, 4 August 2022

Mark Gerstein is the Albert L. Williams Professor of Biomedical Informatics at Yale. He is associated with the Departments of Molecular Biophysics & Biochemistry, Computer Science and Statistics & Data Science. He is Co-Director (and founder) of the Computational Biology & Bioinformatics PhD Program. He has chaired the analysis groups of numerous national and international projects, including ENCODE, modENCODE, PsychENCODE, 1000 Genomes, PCAWG, ERCC, and SCORCH. Prof. Gerstein completed his PhD training in Computational Chemistry and Biophysics at Cambridge University, followed by postdoctoral training at Stanford. Since then, he has published >600 manuscripts in total, including several in prominent venues, such as Science, Nature, and Cell, with an H-index of >175. He has also written popular science pieces for venues such as Scientific American and the Wall Street Journal. He is a specialist in bioinformatics with a particular interest in large-scale data analysis, especially as it pertains to personal genome analyses. Current research foci in his lab include disease genomics (particularly neurogenomics and cancer genomics), human genome annotation, genomic privacy, network science, wearable and molecular image data analysis, text mining of the biological science literature and macromolecular simulation. Prof. Gerstein has received awards such as being elected as a fellow of the AAAS and ISCB. His lab currently comprises >35 trainees and he has placed >35 of his past alumni/ae in academic faculty positions and an equivalent number in industry positions. He has mentored >200 Yale undergraduates and has taught undergraduate and graduate courses in bioinformatics at Yale for >20 years. He has also consulted for many companies and currently serves on several corporate advisory boards.

270 words, 3 Aug 2022

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