Dr. Mark Gerstein

Biography

Mark Gerstein is the Albert L. Williams Professor of Biomedical Informatics at Yale School of Medicine. His lab has been engaged in biomedical data science for over 25 years, initially focusing on macromolecular structure and simulations. As the field evolved, the lab shifted its focus towards genomics, significantly contributing to large-scale projects such as ENCODE and GENCODE. Gerstein’s work spans areas like disease genomics, particularly in neurogenomics and cancer genomics, where he develops computational approaches linking genomic variants to diseases. Recent projects include constructing predictive models for diseases such as schizophrenia and Alzheimer's disease. His research emphasizes the integration of diverse biomedical data types using AI methodologies and developing practical tools to tackle biomedical challenges. With a strong background in physics, Gerstein integrates his expertise in computational biology to enhance the interpretability of biological analyses. The lab's contributions also focus on understanding gene-regulatory networks and the implications of genomic data in disease.

Research Interests