School of Medicine
Showing 11-19 of 19 Results
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Laurel Stell
Research Engineer, Biomedical Data Science
Current Role at StanfordPrimarily collaborating with VA researchers on GWAS using MVP data. Also providing statistical support to some Stanford clinicians conducting investigational research.
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Jaap Suermondt, PhD
Executive Director, Biomedical Informatics Training Program, Biomedical Data Science
BioI’m the Executive Director of Stanford’s Biomedical Informatics Program, working with MS and PhD students who are training to be the next generation of researchers and leaders in Biomedical Data Science. I hold a BS, MS, and PhD from Stanford University, and am an elected Fellow of the American College of Medical Informatics
Before coming back to Stanford, I spent most of my career in industry, as a researcher, manager, and executive. Outside of Stanford, I’m active in the Silicon Valley ecosystem as a mentor to startup founders and strategic advisor -- all this obviously while being compliant with Stanford's policies and conflict of interest and commitment constraints. -
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.
