School of Humanities and Sciences
Showing 101-120 of 141 Results
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
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Nian Si
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
Masters Student in Statistics, admitted Winter 2020BioI am a second-year PhD student in the Department of Management Science and Engineering (MS&E) at Stanford University, where I am fortunate to be advised by Prof. Jose Blanchet. I am a member of the Stanford Operations Research Group.
Previously, I obtained a B.A. in Economics and a B.S. in Mathematics both from Peking University in 2017. My research interests lie broadly in applied probability, stochastic modeling and robust optimization.
In my spare time, I like outdoor activities, including hiking, marathons and triathlons. Besides these, I am a serious contract bridge player. -
Paul Switzer
Professor of Statistics and of Environmental Earth System Science, Emeritus
BioDr. Switzer's research interests are in the development of statistical tools for the environmental sciences. Recent research has focused on the interpretation of environmental monitoring data, design of monitoring networks, detection of time trends in environmental and climatic paramenters, modeling of human exposure to pollutants, statistical evaluation of numerical climate models and error estimation for spatial mapping.
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Laura Marie J Symul
Postdoctoral Research Fellow, Statistics
BioLaura Symul has obtained her PhD in computational biology from the École Polytechnique Fédérale de Lausanne (EPFL), in Switzerland, where she has worked on the molecular regulation of the circadian clock. In particular she explored the regulation of rhythmic gene expression and protein translation combining analyses of -omics data with mathematical models describing the regulatory dynamics to infer quantities otherwise not measurable.
Laura Symul has also specialized in the visualization of data and, during her industry experience, has helped companies to take data-driven decisions.
As a postdoctoral fellow, her research focuses on assessing menstrual health, including fertility and cycle-related symptoms occurrence, with self-tracked data from mobile phone apps and devices. -
Hua Tang
Professor of Genetics and, by courtesy, of Statistics
Current Research and Scholarly InterestsDevelop statistical and computational methods for population genomics analyses; modeling human evolutionary history; genetic association studies in admixed populations.
