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Informatics Research Seminar: Machine Learning: For Robust and Redefined Data-Driven Decision Making

September 6, 2017 @ 4:00 pm - 5:00 pm EDT

Speaker: Michael Kosorok, PhD
Presented from UNC-CH

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

An overview of how data science and big data have become relevant to biomedical research will be presented, including the roles of machine learning and statistics in data-driven decision making and precision medicine and the potential pitfalls of “big data hubris.” Several ongoing projects using machine learning for precision medicine will be described, including work on patient-derived xenograft mouse models for cancer, type 1 diabetes, and alcohol dependency. Sequential multiple assignment randomized trials (SMARTs) for precision medicine research will also be introduced.

Michael R. Kosorok, PhD, MS is the W.R. Kenan, Jr. Distinguished Professor and Chair of Biostatistics, Professor of Statistics and Operations Research, and Member of the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. His research interests are in biostatistics, data science, machine learning, and precision medicine. He has authored over 130 peer-reviewed journal publications and two books, one on the theoretical foundations of biostatistics (Introduction to Empirical Processes and Semiparametric Inference, 2008, Springer) and one, co-authored with Erica E.M. Moodie, on current data science methods in precision medicine (Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, 2016, ASA-SIAM). He is an honorary fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science.

For a complete seminar schedule, visit the DCHI website:



CEU Credit:

In support of improving patient care, the Duke University Health System Department of Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team.

Duke University Health System Department of Clinical Education and Professional Development designates this live activity for 1 Credit.


Duke:  Hock Auditorium – Hock Plaza 2424 Erwin Road, Durham, NC 27705
UNC-Chapel Hill:  Health Science Library, Room 227
NCCU-Durham:  Room 364, James E. Shepard Memorial Library
UNC-Charlotte:  Fretwell 126
ECU-Greenville:  Health Sciences Building, Room 1355

Parking at Duke:

A printed, bar coded parking pass is required for entry to and exit from the garage. Parking passes must be requested at least 48 hours in advance of the seminar.  Email healthinformatics@duke.edu  to request a parking pass. The pass will be emailed to you in PDF format and must be printed for scanning at the gate. The system will not scan bar codes from smartphones.

After parking, proceed to the 4th Floor of the parking garage and exit across the driveway to enter the building lobby.  Sign in at the desk; take the elevator down to the ground floor to Hock Auditorium.  (Exit left off the elevator and walk down the hall, the auditorium will be on your right.)

Questions: healthinformatics@duke.edu


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September 6, 2017
4:00 pm - 5:00 pm
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