Systems Biology & Biomedical Data Science
Tackling complex challenges in human health requires the systematic analysis of molecular, cellular, and multi-cellular processes in a quantitative framework. Rich datasets emerge from the development and application of cutting-edge experimental methods that deeply interrogate cell-tissue-organ physiology. Integration of these big data can only be achieved through predictive computational models that are scalable, flexible, and quantitatively rigorous.
BME Primary Faculty in this Area
Sameer Bajikar
Philip E. Bourne
Mete Civelek
Sepideh Dolatshahi
Mohammad Fallahi-Sichani
Dr. Fallahi-Sichani leads a Systems Biology research program aiming to discover the fundamental mechanisms through which human cancer cells respond heterogeneously to environmental and therapeutic perturbations.
Jason Papin
Jason Papin, Professor in the Department of Biomedical Engineering, develops computational models of cellular networks and performs experiments to characterize biological systems relevant to human disease. After his training in Bioengineering at University of California, San Diego, Jason Papin joined the faculty at University of Virginia in 2005.
Gustavo Kunde Rohde
Dr. Rohde, Professor of Biomedical Engineering and Electrical and Computer Engineering, develops computational predictive models with applications in pathology, radiology, systems biology, and mobile sensing. He earned a B.S. degree 1999, M.S. degree in in 2001 from Vanderbilt University, and a doctorate in 2005 from the University of Maryland.
Jeff Saucerman
Jeff Saucerman, PhD, Professor of Biomedical Engineering, combines computational models and high-throughput experiments to discover molecular networks and drugs that control cardiac remodeling.
Aidong Zhang
Aidong Zhang's research focuses on developing machine learning approaches to interpretable and fair learning, concept-based learning, federated learning, and generative AI. She also works on large language models for hypothesis generations for scientific discovery.
Eli Zunder
Eli Zunder analyzes stem cell fate using single cell mass cytometry and high-dimensional modeling of cell lineage trajectories. He received his Ph.D. in Biophysics from UCSF in 2009.
Joint Faculty in Biomedical Data Sciences and Systems Biology
Christopher Deppmann
Christopher Deppman has been interested in the mechanisms underlying long-distance signaling in the context of nervous system development since he was a post-doctoral fellow at Johns Hopkins University School of Medicine in the laboratory of David Ginty (now at Harvard).
Clint Miller
Clint Miller studies the genetic and environmental risk factors for coronary artery disease and other complex cardiovascular diseases using a combination of large-scale multi-omics profiling and genetic and drug perturbations. He is an Assistant Professor in Public Health Sciences and a resident member of the Center for Public Health Genomics.
Nathan Sheffield
Chongzhi Zang
Dr. Chongzhi Zang is an associate professor and resident faculty member in the Center for Public Health Genomics, University of Virginia. He holds faculty appointments in the Departments of Public Health Sciences, Biomedical Engineering, and Biochemistry and Molecular Genetics.
Distinctive Features
History and Vision
History and Vision for Systems Biology and Biomedical Data Science at UVA
UVA School of Data Science
Biomedical Engineering professor PHIL BOURNE is the founding dean of the School of Data Science, UVA’s 12th school and the first established since 2007.
Training Grant is Equipping Future Leaders in Biomedical Data Sciences
Greg Medlock shares his experience
Greg Medlock honed his collaborative abilities during his two years as a participant in a National Institutes of Health training grant led by his doctoral thesis advisor, BME...
NSF REU in Multiscale Systems Bioengineering
Timothy Allen (Principal Investigator). Each summer, UVA trains undergraduates from a variety of STEM backgrounds in the exciting field of systems bioengineering.