Marcin Imieliński

Marcin is a Core Faculty Member at the New York Genome Center. He holds a joint appointment as Associate Professor of Computational Genomics and Associate Professor of Pathology and Laboratory Medicine at Weill Cornell Medicine, working directly with its Meyer Cancer Center and Englander Institute for Precision Medicine. He is also an Attending Molecular Pathologist at New York-Presbyterian/Weill Cornell Medical Center, as well as a board-certified molecular genetic pathologist. His research includes more than 80 peer-reviewed publications across cancer genomics, human genetics and computational biology. His lab uses cutting-edge sequencing technology and genomic data science to study patterns of complex and noncoding somatic DNA variation in cancer. Marcin’s research interests lie in the application of high-throughput sequencing and computation to study these patterns. He is specifically interested in probing long-range cancer genome structure through the use of cutting-edge sequencing protocols and the development of novel machine learning and data visualization approaches. Marcin is committed to expanding the role of computation and data science in laboratory medicine, and envisions a future in which “quantitative pathologists” help direct treatment choices through the application of statistical intuition and sophisticated multivariate analyses. He is a recipient of a Burroughs Wellcome Career Award for Medical Scientists, a Clinical Scientist Development Award from the Doris Duke Charitable Foundation, and The Black Family-MRA Team Science Award. Marcin’s BS in Computer Science is from Rutgers College and his Ph.D in genomics and computational biology and MD are from the University of Pennsylvania School of Medicine. He completed his residency in pathology at the Massachusetts General Hospital, and a fellowship in molecular genetic pathology at Harvard Medical School. Prior to joining the New York Genome Center, he was a postdoctoral fellow in computational cancer genomics at the Broad Institute of Harvard and MIT, under the mentorship of Drs. Matthew Meyerson and Gad Getz.