- Associate Professor, Department of Internal Medicine (Cardiology), Yale School of Medicine, Yale University
Dr. David van Dijk is an Associate Professor of Cardiology (Medicine) at Yale School of Medicine and Yale Department of Computer Science, where he leads a research group focused on the application of machine learning to large-scale biomedical data. He completed his PhD in Computer Science at the University of Amsterdam and the Weizmann Institute of Science, where he used machine learning to understand how gene regulation is encoded in DNA sequence, and conducted postdoctoral training at Yale in Genetics and Computer Science, where he developed widely adopted machine learning methods for single-cell data.
Dr. van Dijk’s group develops new algorithms for discovering hidden structure, signals, and patterns in complex high-dimensional and high-throughput data — including single-cell RNA sequencing, microbiome data, medical imaging, and electronic health records. His research team draws on diverse backgrounds spanning computer science, mathematics, physics, biology, medicine, and neuroscience. For the Colton Consortium, his group is developing AI-simulated in silico humans as a new paradigm for modeling autoimmunity.
