Mentors

Systems biology and biomedical data sciences is a research strength area at the University of Virginia. It's why our REU can pull faculty mentors from ten departments across four schools.

Our faculty are committed to training undergraduates and involving them as critical components of their research programs. Undergraduate students in our faculty mentors' labs have won best paper awards in conference proceedings, won competitions, and co-authored papers in high-profile journals including Science, Nature Cell Biology, Neuron, Nature Neuroscience, Molecular Systems Biology, and PLOS Computational Biology.

Timothy E. Allen, Ph.D.

Professor, Academic General Faculty, Teaching Track, Biomedical Engineering Director, NSF REU in Multiscale Systems Bioengineering and Biomedical Data Sciences

Timothy E. Allen teaches and mentors students in the areas of computational modeling of complex biological systems, molecular and cell biology assays, and medical device design.

Laura Barnes

Professor Associate Director, Link Lab

Laura Barnes is a professor in the Department of Systems and Information Engineering. She is the Associate Director of Link Lab and directs the Sensing Systems for Health Lab which focuses on designing impactful, technology-enabled solutions for improving health and well-being.

Silvia Salinas Blemker, Ph.D.

Professor, Biomedical Engineering

Silvia Blemker uses experimental and computational models to characterize the relationships between muscle structure, biomechanical properties, biology, and function in order to develop new treatments for musculoskeletal disease

Philip E. Bourne, Ph.D.

Founding Dean, School of Data Science Professor, Biomedical Engineering

Philip E. Bourne leads a range of initiatives to encourage and facilitate the use of big data in large-scale research across the scientific and technological disciplines, with special emphasis on structural bioinformatics and systems pharmacology.

Christopher Deppmann

Associate Professor of Biology Associate Professor of Biomedical Engineering

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). 

Sepideh Dolatshahi, Ph.D.

Assistant Professor, Biomedical Engineering
Research in the Dolatshahi lab combines multiplex experimental measurements with computational methods (including statistical machine learning, network inference, information theory, signal processing and kinetic-dynamic modeling) to solve problems in the context of cancer, infectious disease and…

Mohammad Fallahi-Sichani, Ph.D.

Associate Professor, Biomedical Engineering

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.

Gregory J. Gerling is a Professor of Systems Engineering at the University of Virginia. His research spans fields of haptics, computational neuroscience, UX/UI, human factors and ergonomics, biomechanics, and human–machine interaction.

Kevin Janes, Ph.D.

John Marshall Money Professor, Biomedical Engineering

Kevin Janes designs and uses systems bioengineering approaches to analyze cell signaling and transcriptional networks in cancer and infectious disease.

Matthew J. Lazzara

Professor of Chemical Engineering Professor of Biomedical Engineering Member, UVA Cancer Center

Work in the Lazzara Lab employs a combination of experimental and computational methods to study problems in cell signaling, the complex biochemical process cells use to make decisions.

Clint Miller

Assistant Professor of Public Health Sciences Assistant Professor of Biomedical Engineering Assistant Professor of Biochemistry and Molecular Genetics

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.

Kristen Naegle, Ph.D.

Associate Professor, Biomedical Engineering and the Center for Public Health Genomics

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

Jason Papin, Ph.D.

Professor, Biomedical Engineering Harrison Distinguished Teaching Professor

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.

Shayn Peirce-Cottler, Ph.D.

Professor and Chair, Biomedical Engineering Harrison Distinguished Teaching Professor

Shayn Peirce-Cottler develops computational models and combines them with wet lab experiments and machine learning to study how tissues heal after injury and to develop new therapies for inducing tissue regeneration.

Jeff Saucerman, Ph.D.

Professor, Biomedical Engineering

Jeff Saucerman, PhD, Professor of Biomedical Engineering, combines computational models and high-throughput experiments to discover molecular networks and drugs that control cardiac remodeling.

Chongzhi Zang

Associate Professor of Public Health Sciences, Biomedical Engineering, and Biochemistry and Molecular Genetics

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.

Aidong Zhang

Thomas M. Linville Professor Computer Science, Biomedical Engineering, and Data Science

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, Ph.D.

Associate Professor, Biomedical Engineering

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.