School of Medicine
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Sirimuvva Tadepalli
Physical Science Research Scientist, Microbiology and Immunology
BioSirimuvva Tadepalli, Ph.D. is a Research Scientist in the Department of Microbiology and Immunology at Stanford University School of Medicine where she studies the role of myeloid cells during radiotherapy. She received her PhD in Materials Science and Engineering from Washington University in St. Louis and B.Tech. from National Institute of Technology, Warangal. Dr. Tadepalli has received several awards including the American Association of Immunologists award, Merck postdoctoral fellowship from Life Sciences Research Foundation, Dean's postdoctoral fellowship from the Stanford School of Medicine and Graduate Student Gold Award from the Materials Research Society. Dr. Tadepalli's research interests have spanned cancer nanotherapeutics, myeloid cell immunoengineering, biomaterials science and nanotechnology.
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John S. Tamaresis, PhD, MS
Biostatistician, Biomedical Data Science
BioDr. Tamaresis joined the Stanford University School of Medicine in Summer 2012. He earned the Ph.D. in Applied Mathematics from the University of California, Davis and received the M.S. in Statistics from the California State University, East Bay. He has conducted research in computational biology as a postdoctoral scholar at the University of California, Merced and as a biostatistician at the University of California, San Francisco.
As a statistician, Dr. Tamaresis has developed and validated a highly accurate statistical biomarker classifier for gynecologic disease by applying multivariate techniques to a large genomic data set. His statistical consultations have produced data analyses for published research studies and analysis plans for novel research proposals in grant applications. As an applied mathematician, Dr. Tamaresis has created computational biology models and devised numerical methods for their solution. He devised a probabilistic model to study how the number of binding sites on a novel therapeutic molecule affected contact time with cancer cells to advise medical researchers about its design. For his doctoral dissertation, he created and analyzed the first mathematical system model for a mechanosensory network in vascular endothelial cells to investigate the initial stage of atherosclerotic disease.