Shilpa Kobren, Ph.D. is a research fellow in the Department of Biomedical Informatics at Harvard Medical School working with Zak Kohane and Shamil Sunyaev. Her research focuses on leveraging genome-scale sequencing and molecular data in the context of heterogeneous clinical information to derive insights on the molecular mechanisms underlying rare, undiagnosed human diseases. Dr. Kobren is especially interested in understanding how underappreciated noncoding and other complex variants contribute to disease onset and progression. Additionally, Dr. Kobren is a member of the Undiagnosed Diseases Network Data Management and Coordination Center where she contributes to sequencing data harmonization efforts and leads the UDN-wide Bioinformatics "Tool Building Coalition"Working Group. Previously, Dr. Kobren earned her Ph.D. in Computer Science from Princeton University, where she worked under the supervision of Dr. Mona Singh. Her doctoral research focused on developing novel computational methods to detect and interpret protein interaction and cellular network perturbations across species, across healthy human individuals, and across individuals with disease.