Dr. Sheynkman received her BS in Biochemistry from the University of Notre Dame. She has industry experience from working at Gilead Sciences in the Analytical Development department. She then received her PhD from the University of Wisconsin-Madison where she developed integrative proteogenomics methods to discover human proteomic variation. Dr. Sheynkman was a postdoctoral fellow at the Dana-Farber Cancer Institute and Harvard Medical School, where she developed high-throughput functional proteomics approaches to characterize normal and disease protein isoforms. Most recently, she was recruited to the University of Virginia in the summer of 2020 and is an Assistant Professor with a primary appointment in The Department of Molecular Physiology and Biological Physics.

At the Sheynkman lab, we aim to accelerate the discovery of clinically actionable protein isoforms by integrating cutting-edge analytical and computational approaches from systems genetics, proteogenomics, and network biology. This precision medicine approach is applied in a disease agnostic manner to elucidate isoform-driven rewiring events in cardiovascular disease, neurological disorders, and cancer. In this seminar, Dr. Sheynkman will present approaches for 1) enhanced detection of protein isoforms, using a recently developed "long read proteogenomics"approach, 2) an integrative systems genetics approach for discovering protein isoform drivers of disease from colocalized sQTL analysis, and 3) computational deep learning approaches to dissect the mechanism by which protein isoforms drive phenotypic changes.