250-word research description

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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 and Biochemistry, Computer Science and Statistics and Data Science. He is Co-Director of the Computational Biology & Bioinformatics PhD Program and Co-Director 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, Cell and Scientific American, with an H-index of >175. 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 imaging data analysis, 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 for >20 years.

(28-Apr-2021, 244 words)

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