School of Medicine
Showing 21-30 of 62 Results
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Sarah Heilshorn
Director, Geballe Laboratory for Advanced Materials (GLAM), Professor of Materials Science and Engineering and, by courtesy, of Bioengineering and of Chemical Engineering
Current Research and Scholarly InterestsProtein engineering
Tissue engineering
Regenerative medicine
Biomaterials -
Wm. LeRoy Heinrichs
Member, Maternal & Child Health Research Institute (MCHRI)
Current Research and Scholarly InterestsSurgical simulation; team-training in virtual environments; online training of healthcare providers in virtual environments; tele-medicine for acute & chronic disease management in virtual environments
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Stefan Heller
Edward C. and Amy H. Sewall Professor in the School of Medicine and Professor of Otolaryngology - Head & Neck Surgery (OHNS)
Current Research and Scholarly InterestsOur research focuses on the inner ear, from its earliest manifestation as one of the cranial placodes until it has developed into a mature and functioning organ. We are interested in how the sensory epithelia of the inner ear that harbor the sensory hair cells develop, how the cells mature, and how these epithelia respond to toxic insults. The overarching goal of this research is to find ways to regenerate lost sensory hair cells in mammals.
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Tina Hernandez-Boussard
Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.