Seminar: Causal network discovery from biomedical data

The IDI-BD2K program is pleased to present a seminar entitled

Causal network discovery from biomedical data


Gregory Cooper, M.D., Ph.D.
University of Pittsburgh

Date: November 14, 2018
Time: 5:00 PM
Room: CNL A-211
Ciencias Naturales Fase II
UPR Río Piedras

Causal modeling is an up and coming field at the intersection of statistics and machine learning which seeks to discover which features are most responsible for the decisions of ML algorithms. This talk will provide an introduction to concepts and methods for learning causal relationships in the form of causal networks from biomedical and clinical data, including solely observational data. Examples will be given of applying these methods to biomedical data. The talk will also provide pointers to software for learning causal networks from data, including data containing thousands of variables.

IDI-BD2K Poster Session – Wednesday November 7, 2018

Want to know what IDI-BD2K students did last summer? To kick off BD2K week, we will have a poster session Wednesday November 7 from 11:30AM-12:50PM in the lobby of the New Natural Sciences Building in UPR Rio Piedras.

Come see the student’s work and find out how you can participate in a summer internship at one of the National Institutes of Health funded Centers of Excellence in Biomedical Big Data to Knowledge.