Karen Sleezer
Kitter Bishop
Using Machine Learning for Better Human Understanding of Disease Risk Factors and Treatments
Machine learning changed health care by making sense of biological data, but for UVA Engineering’s Aidong Zhang, that’s only part of understanding disease risk and treatments.
William H. Guilford, Ph.D.
My lab uses molecular biomechanics and engineering design to better understand movement of single cells and to improve the treatment of human disease. We also study human learning and use that knowledge to improve the delivery of core courses in biomedical engineering.
Thomas C. Skalak
Silvia Salinas Blemker, Ph.D.
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
Shannon Barker, Ph.D.
Sameer Bajikar, Ph.D.
Sameer Bajikar uses multidisciplinary approaches from human stem cells to computational models to understand how brain function goes awry in neurodevelopmental disorders to engineer new therapies for these diseases.