Dr. Genevieve Stein-O’Brien is a the Terkowitz Family Rising Professor of Brain Science and Bloomberg Assistant Professor of Neuroscience at Johns Hopkins University with affiliations to the Kavli Neuroscience Discovery Institute, the McKusick-Nathans Department of Genomic Medicine, the Convergence Institute, and Institute for Data Intensive Engineering and Science. She received a Ph.D. in Human Genetics from Johns Hopkins School of Medicine and a MHS in Biostatistics from Johns Hopkins School of Public Health.

Dr. Stein-O’Brien’s research is focused on the stochastic and emergent processes underlying molecular regulation of dynamic biological systems. Specifically, she develops computational and statistical methods for pattern detection and data integration in high-throughput omic data. She was the first to adapt transfer learning methods to single cell transcriptional data to show that patterns of molecular co-regulation can be identified across cellular measurements, technologies, tissues, and species.

To learn more, visit the Stein-O’Brien Lab website and follow Dr. Stein-O’Brien on social media.