Stanford University
Showing 331-340 of 737 Results
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Matthew (Matt) Hernandez
Assistant Professor of Pathology (Clinical)
Current Research and Scholarly InterestsDevelopment and optimization of infectious disease diagnostics; microbial genomics and pathogen surveillance; and the interplay between microbial diversity and clinical disease phenotypes.
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Luis Hernandez-Nunez
Assistant Professor of Biology
BioLuis Hernandez-Nunez is a tenure-track professor of biology, a Warren Alpert Distinguished Scholar, a Branco Weiss faculty fellow, and a Burroughs Wellcome Career Award faculty fellow at Stanford University, where he leads the Hernandez-Nunez Lab. Luis’ research focuses on the circuit mechanisms underlying heart-brain interactions and on organismal circuits that implement multiorgan coordination and feedback control. Luis did his postdoctoral training with Florian Engert supported by an LSRF fellowship. Luis obtained his Ph.D. in Systems, Synthetic, and Quantitative Biology from Harvard in 2020. He conducted his doctoral research in Aravinthan Samuel’s lab, where he identified molecules, cells, and circuits that mediate thermal homeostasis in larval Drosophila. Before graduate school, Luis was an undergraduate and then a postbac researcher at Thierry Emonet’s lab at Yale University. Before moving to the U.S., Luis studied mechatronics engineering at the National University of Engineering in Peru.
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Tina Hernandez-Boussard
Professor of Medicine (Computational Medicine), 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.
