School of Humanities and Sciences

Showing 11-20 of 40 Results

• Jerry Friedman

  Professor of Statistics, Emeritus
  
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  Trevor Hastie

  Emeritus Faculty, Acad Council, Statistics
  

  • Contact Info

  • Web page:

    http://www-stat.stanford.edu/~hastie
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  Susan Holmes

  Professor of Statistics, Emerita
  

  Current Research and Scholarly InterestsOur lab has been developing tools for the analyses of complex data structures, extending work on multivariate data to structured multitable table that include graphs, networks and trees as well as categorical and continuous measurements.
  We created and support the Bioconductor package phyloseq for the analyses of microbial ecology data from the microbiome. We have specialized in developing interactive graphical visualization tools for doing reproducible research in biology.
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  Iain Johnstone

  Marjorie Mhoon Fair Professor of Quantitative Science and Professor of Statistics and of Biomedical Data Sciences
  

  Current Research and Scholarly InterestsEmpirical bias/shrinkage estimation; non-parametric, smoothing; statistical inverse problems.

  • Contact Info

  • Web page:

    http://www-stat.stanford.edu/~imj
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  Gene Bernhard Kim

  Marie Anne Burkhard H&S Lecturer in Undergraduate Teaching, Statistics
  

  • Contact Info

  • Web page:

    http://www.genebkim.com
• Lihua Lei

  Associate Professor of Economics at the Graduate School of Business, Center Fellow at the Stanford Institute for Economic Policy Research and Associate Professor, by courtesy, of Statistics
  
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  Scott W Linderman

  Associate Professor of Statistics
  

  BioScott Linderman, PhD, is an Assistant Professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute, as well as the Co-Director of the Stanford Center for Neural Data Science. His research focuses on machine learning, computational neuroscience, and the general question of how computational and statistical methods can help to decipher neural computation. His work combines novel methodological development in the areas of state space models, deep generative models, point processes, and approximate Bayesian inference with applied statistical analyses of large-scale neural and behavioral data. Previously, he was a postdoctoral fellow at Columbia University and a graduate student at Harvard University. His work has been recognized with a Savage Award from the International Society for Bayesian Analysis, an AISTATS Best Paper Award, an NSF CAREER Award, and fellowships from the McKnight, Sloan, and Simons Foundations.
• Tudor Manole

  Assistant Professor of Statistics
  
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  Andrea Montanari

  John D. and Sigrid Banks Professor and Professor of Mathematics
  

  BioI am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
  I am also working on applications of these techniques to healthcare data analytics.
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  Benjamin Nachman

  Associate Professor of Particle Physics and Astrophysics and, by courtesy, of Physics and of Statistics