3rd Annual DeMets Lecture Series

The Department of Biostatistics & Medical Informatics University of Wisconsin School of Medicine and Public Health is thrilled to be welcoming Dr. Tibshirani, Professor of Statistics & Professor of Biomedical Data Science at Stanford University, for the 3rd Annual DeMets Lecture Series on Thursday November 9 and Friday November 10.

Topic on Thursday, November 9: Some Progress and Challenges in Biomedical Data Science
Dr. Tibshirani will discuss some new developments in the application of statistics and data science to medicine, and some challenges that this exciting field faces. Examples from his own work that will be discussed include cancer diagnosis from DESI mass spec data, estimating the number of units of platelets needed by a hospital each day and making treatment recommendations from observational data (electronic health records).

Some Progress and Challenges in Biomedical Data Science is a research/overview talk accessible to a general biomedical/public health audience. Ideally, it will highlight, in one or more ways, critical and impactful contributions from quantitative methodological areas (e.g., biostatistics and/or biomedical informatics) to discoveries in biomedicine, and/or advancement of human/public health.

Reception to follow in the HSLC Atrium.

For additional information on Dr. Tibshirani, please see:

https://statistics.stanford.edu/people/robert-tibshirani
https:/en.wikipedia.org/wiki/Robert_Tibshirani

Research Statement:
Robert Tibshirani’s main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics.