2025 DeMets Lectures
AI Methods in Biomedicine by Mark Gerstein
Event Details
Mark Gerstein, PhD
Albert L Williams Professor of Biomedical Informatics and Professor of Molecular Biophysics & Biochemistry, of Computer Science, and of Statistics & Data Science
Mark Gerstein, PhD is the Albert L Williams Professor of Biomedical Informatics, and Professor of Molecular Biophysics & Biochemistry, of Computer Science, and of Statistics and Data Science. Dr. Gerstein earned his PhD in Biophysics and Chemistry from Cambridge University, followed by a postdoc in Bioinformatics at Stanford University.
Dr. Gerstein joined Yale University as assistant professor in 1997 and has served in a number of roles, including co-director of the Yale Computational Biology and Biomedical Informatics Program. His research interests focus on biomedical data science, machine learning, macromolecular simulation, human genome annotation & disease genomics, and genomic privacy.
Dr. Gerstein has been elected as Fellow in three organizations: the Association for the Advancement of Artificial Intelligence (AAIA – 2024), International Society for Computational Biology (ISCB – 2015), and American Association for the Advancement of Science (AAAS – 2009). In 2023, he received the Accomplishments by a Senior Scientist Award from ISCB. He serves on a number of editorial boards, including PL0S Comp Bio, Genome Biology, Molecular Systems Biology, BMC Bioinformatics, Molecular and Cellular Proteomics, Protein Science and Molecular Biology & Evolution. He is the co-head of the Big Data & Analytics Section for the open access publishing platform F1000.
He has served on a number of committees, including co-chairing the NHGRI Analysis Working Group, several federal committees and study sections, and has been a trustee of the Churchill Cambridge Scholarship since 2022.
https://biostat.wiscweb.wisc.edu/events/demets-lecture-series/