Systems Biology and Biomedical Data Sciences

Professor, Academic General (Teaching Track)

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Teaching and mentoring students in the areas of computational modeling of complex biological systems, molecular and cell biology assays, and medical device design.

Dean of the School of Data Science and Professor of BME

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Leading a range of initiatives to encourage and facilitate the use of big data in large-scale research across the scientific and technological disciplines. Special emphasis on structural bioinformatics and systems pharmacology.

Associate Professor

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Using big data analytics to understand the molecular pathways of disease. Developing personalized medicine approaches to cardiovascular and metabolic disorders.

Assistant Professor

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Developing new systems biology approaches to understand fundamental mechanisms of immune regulation and dysregulation, with an ultimate objective of identifying strategies to design and improve immunotherapies.

Assistant Professor

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At the interface of systems biology, quantitative pharmacology and cancer biology, we link genetic, epigenetic and signaling mechanisms through which cells (in healthy or cancer states) respond to perturbations such as cytokines, stress and cancer drugs.

Professor

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Designing and using new experimental and computational approaches for analyzing cell signaling and transcriptional networks in cancer.

Associate Professor

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Addressing fundamental questions about infectious disease by studying the membrane biology of virus-host cell interactions using both computational models and experimental approaches.

Professor

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Experimental and computational methods to study fundamental aspects of cell signaling regulation and applied aspects of cell signaling, including the efficacy of therapeutics that target particular signaling pathways in cancer.

Associate Professor

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Using data- and computational-driven approaches to predict, and experimental approaches to test, the regulation and function of tyrosine phosphorylation in complex networks.

Professor

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Developing computational models of cellular networks and performing high-throughput experiments to characterize biological systems relevant to human disease, with a focus on infectious disease and cancer.

Professor and Chair

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Combining experimental and computational models to design cell-based therapies for regenerating microvascular networks in diabetes, wound healing, and cardiovascular disease.

Professor

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Developing computational predictive models using machine learning and signal and image processing with applications in pathology, radiology, systems biology and mobile sensing.

Professor

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Combining computational models and high-throughput experiments to discover molecular networks that control cardiac remodeling and regeneration.

William Wulf Faculty Fellow and Professor of Computer Science and Biomedical Engineering

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Developing data mining and machine learning approaches to modeling and analysis of structured and unstructured data with a variety of applications, especially biomedical applications.

Assistant Professor

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Analysis of stem cell fate using single cell mass cytometry and high-dimensional modeling of cell lineage trajectories.

Associate Professor of Biology

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Pursuing the molecular basis for long-distance neurotrophic construction signaling, how TNFR family signaling suppresses pro-growth cues to promote nervous system refinement, building non-invasive tools to better understand the signaling...

Assistant Professor of Public Health Sciences

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Studying 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.

Assistant Professor of Public Health Sciences

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Using computation to ask and answer biological questions, specifically how DNA encodes regulatory networks that enable cellular differentiation.

Assistant Professor of Public Health Sciences

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Computational approaches to study how genes work in the chromatin and how they dysfunction in cancer.

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History and Vision for Systems Biology and Biomedical Data Science at UVA

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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. 

Greg Medlock shares his experience

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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...

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Timothy Allen (Principal Investigator). Each summer, UVA trains undergraduates from a variety of STEM backgrounds in the exciting field of systems bioengineering.