Cancer

Cancer is a multiscale disease of biomolecules, cells, and tissues—engineering approaches provide biomedical insights, diagnoses, and therapies that will ultimately benefit cancer patients.

More about Cancer Research at UVA

Play Video Kelly Lab UVA

Inquisitiveness, Passion, and Persistence

Pancreatic cancer researcher Lindsay Brinton (BS '09, PhD '16) reflects on what it takes to be a biomedical researcher.

BME Primary Faculty in this Area

  • Tom Barker, Ph.D.

    Tom Barker, Ph.D.

    Professor

    Exploring and therapeutically exploiting the fundamental links between fibroblast adaptation to their mechanical microenvinronment and their myofibroblastic differentiation during tissue fibrosis.

    The Matrix Biology and Engineering Lab
  • Bryan Berger, PhD

    Bryan Berger, PhD

    Associate Professor

    We utilize synthetic biology to address emergent challenges across diverse areas such as advanced biomanufacturing, improving drug bioavailability and combating antimicrobial resistance.

  • Philip Bourne, Ph.D.

    Philip Bourne, Ph.D.

    Professor and Stephenson Chair of Data Science and Director of the University of Virginia's Data Science Institute

    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.

    Wikipedia Profile
  • Brent French, Ph.D.

    Brent French, Ph.D.

    Professor

    Combining advanced methods of targeted drug and gene delivery with biomedical imaging in vivo to explore novel targets and treatment strategies in cardiovascular disease and cancer.

    Faculty Profile
  • Kevin Janes, Ph.D.

    Kevin Janes, Ph.D.

    Associate Professor

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

    Cell-Signaling Bioanalysis Laboratory
  • Kim Kelly, Ph.D.

    Kim Kelly, Ph.D.

    Professor

    Developing phage-based nanoparticle techniques for diagnostic imaging, drug target identification, and drug delivery in the setting of pancreatic cancer.

    Faculty Profile
  • Matthew Lazzara, Ph.D.

    Matthew Lazzara, Ph.D.

    Associate Professor

    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.

    Cell Signaling Engineering Lab
  • Kristen Naegle, Ph.D.

    Kristen Naegle, Ph.D.

    Associate Professor

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

    Faculty Profile
  • Rich Price, Ph.D.

    Rich Price, Ph.D.

    Professor

    Developing ultrasound-activated drug and gene delivery systems for treating cancer and Parkinson’s disease. Investigating the mechanisms through which collateral arteries grow and adapt in response to changes in blood flow.

    Price Lab
  • Gustavo Rohde, Ph.D.

    Gustavo Rohde, Ph.D.

    Associate Professor

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

    Faculty Profile

BME Joint Faculty in Cancer Applications

  • Mark Kester, PhD

    Mark Kester, PhD

    Professor of Pharmacology, NanoSTAR Director

    Developing innovative nanotechnologies for targeted drug delivery in cancer and cardiovascular diseases; pioneered the use of sphingolipids as therapeutics.

    Faculty Profile
  • Nathan Sheffield, PhD

    Nathan Sheffield, PhD

    Assistant Professor of Public Health Sciences

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

    Sheffield Lab

  • Mark Williams, PhD

    Professor of Radiology and Medical Imaging

    Novel medical imaging systems to be used for early detection and characterization of disease, and for guiding and assessing therapy.

    Faculty Profile
  • Chongzhi Zang, PhD

    Chongzhi Zang, PhD

    Assistant Professor of Public Health Sciences

    Algorithm development for high-throughput genomic data analytics and integrative modeling of gene regulatory networks in mammalian cell systems.

    Faculty Profile