Mark Gerstein

Mark Gerstein is the Albert L. Williams Professor at Yale University, affiliated with the Department of Computer Science. His research spans biochemistry, biophysics, computational biology, and data science, with a focus on biomedical informatics and genomics. Gerstein's work includes machine learning, macromolecular simulation, and genomic privacy. He has contributed significantly to genome annotation through collaborations like ENCODE and has developed methods for analyzing regulatory sites and gene expression. His research also addresses disease genomics, particularly in cancer and neurogenomics, and explores the relationship between genomic variants and complex diseases. Gerstein's work integrates computational approaches with biological data to uncover principles governing biological systems.

Mark Gerstein is a Professor of Biomedical Informatics at Yale University, specializing in bioinformatics. His research focuses on the analysis of genomic data to understand biological systems. He has contributed significantly to projects such as the ENCODE (ENCyclopedia of DNA elements) initiative, which aims to identify all functional elements in the human genome. His work includes the development of computational tools for transcriptomics, genome-wide association studies, and the analysis of protein complexes. Gerstein's research has been instrumental in advancing our understanding of gene regulation, DNA structure, and the functional landscape of the human genome.