** Deadline for this workshop was June 18, 2018. **
Location
This workshop will be held at SAS Hall on the campus of NC State University.
Description
The SAMSI PMED program will bring together mathematical, statistical, computational, and biomedical scientists with the goal of forging innovative advances in data-driven, quantitative methodology for precision medicine. This workshop will provide a foundation for the year’s activities by highlighting the diverse range of perspectives on and approaches to precision medicine among quantitative and health sciences researchers through three-and-one-half days of methodological and applied talks by leading scientists. The workshop will begin with a featured lecture by Dr. Norman (Ned) Sharpless, Director of the National Cancer Institute, who will present his views on the role of the quantitative sciences in cancer precision medicine.
On Thursday afternoon, a Working Groups formation session will take place in which leaders of proposed program-long Working Groups will
make brief presentations on the themes and objectives of the groups. Organizational meetings of each group will follow. These discussions will continue through Fridaymorning, and the workshop will adjourn at lunchtime. Group topics/themes are tentative at this time; some proposed topics include Integrated Modeling Strategies, Improved Data-Driven Sequential Decision-Making, Uncertainty Quantification for Precision Medicine, Methodology for mHealth, and Research-Practice Gaps.
Schedule and Supporting Media
Printed Schedule
Speaker Abstracts
Poster Session Titles
Participant List
Lecturers
Confirmed Speakers currently include:
- Alexander Anderson (Moffitt Cancer Center)
- Arlene Chung (UNC-Chapel Hill)
- Heiko Enderling (Moffitt Cancer Center)
- Nick Hengartner (Los Alamos National Laboratory)
- Nathan Kallus (Cornell University)
- Warren Kibbe (Duke University)
- Yang Kuang (Arizona State University)
- Eric B. Laber (NC State University)
- John Lowengrub (University of California, Irvine)
- Charles Manski (Northwestern University)
- David Margolis (UNC-Chapel Hill)
- Maria Mayorga (NC State University)
- Michael Pencina (Duke University)
- Min Qian (Columbia University)
- Andrew Roberts (Cerner Corporation)
- Ruy Ribeiro (University of Lisbon)
- Daniel Rivera (Arizona State University)
- Nigam Shah (Stanford University)
- Ambuj Tewari (University of Michigan)
- Peter Thall (University of Texas MD Anderson Cancer Center)
- David Vock (University of Minnesota)
- Michael Wallace (University of Waterloo)
- Andrew Wang (UNC-Chapel Hill))
- Andrew Wilson (Cornell University)
- Yingqi Zhao (Fred Hutchinson Cancer Research Center)
Monday, August 13, 2018
SAS Hall Room 2203, NC State University, Raleigh, NC
Description | Speaker | Slides | Videos |
---|---|---|---|
Registration | |||
Welcome and Introductory Information | SAMSI Directorate & PMED Organizers | ||
Keynote: Moving from Big Data to Big Insights: Data Science as the Cornerstone of a Learning Health System | Michael Pencina, Duke University | ||
Harnessing Patient-generated Health Data for Precision Medicine | Arlene Chung, University of North Carolina at Chapel Hill (UNC-CH) | ||
Contextual, Intelligent Experiences at Cerner Corporation | Andrew Roberts, Cerner Corporation | ||
Infectious Diseases | Chair: Ruian Ke, Los Alamos & North Carolina State University (NCSU) | ||
Beyond ART: towards eradication or drug-free control of HIV infection | David Margolis, UNC-CH HIV Cure Center, UNC Institute of Global Health and Infectious Diseases | ||
Individual Variability or Just Variability? | Ruy Ribeiro, University of Lisbon | ||
Dynamics and Implications of Hepatitis B Virus Infection | Yang Kuang, Arizona State University | ||
US FDA Perspectives on Precision Medicine | Moderator: Lisa LaVange, UNC-CH | ||
Panelists: Laura Lee Johnson, US FDA | |||
Sirisha Mushti, US FDA | |||
Shiowjen Lee, US FDA/CBER |
Tuesday, August 14, 2018
SAS Hall Room 2203, NC State University, Raleigh, NC
Description | Speaker | Slides | Videos |
---|---|---|---|
Machine Learning and Precision Medicine | Chair: Michael Kosorok, UNC-CH | ||
Inference on Individualized Treatment Rules from Observational Studies with High-Dimensional Covariates | Yingqi Zhao, Fred Hutchinson Cancer Research Center | ||
Bayesian Generative Adversarial Networks | Andrew Wilson, Cornell University | ||
A Sequential Conditional Test for Treatment by Covariate Interactions | Min Qian, Columbia University | ||
Confounding-robust Policy Improvement | Nathan Kallus, Cornell University | ||
Learning to Tailor Treatments using Observational Data | Chairs: Erica Moodie, McGill University | ||
Dan Lizotte, University of Western Ontario | |||
Credible Ecological Inference for Medical Decisions with Personalized Risk Assessment | Charles Manski, Northwestern University | ||
Measurement Error and Precision Medicine | Michael Wallace, University of Waterloo | ||
Building a Machine Learning Health System | Nigam Shah, Stanford University | ||
What is the biggest challenge to using observational data for precision medicine that we should tackle next? | Panel Discussion | ||
Moderator: Erica Moodie, McGill University | |||
Panelists: Michael Wallace, University of Waterloo | |||
Charles Manski, Northwestern University | |||
Maria Mayorga, NCSU | |||
Nigam Shah, Stanford University | |||
Poster Session and Reception |
Wednesday, August 15, 2018
SAS Hall Room 2203, NC State University, Raleigh, NC
Thursday, August 16, 2018
SAS Hall Room 2203 & Second Floor Classrooms, NC State University, Raleigh, NC
Break out Classrooms:
Description | Speaker | Slides | Videos |
---|---|---|---|
Sequential Decision Making | Chair: Ambuj Tewari, University of Michigan | ||
Reinforcement Learning for a Population of Users | Ambuj Tewari, University of Michigan | ||
Optimized Personalized Behavioral Interventions using System Identification and Control: Two Illustrative Examples | Daniel Rivera, Arizona State University | ||
Using Systems Engineering to Inform Public Health Policies: The Impact of Insurance Expansion on Colorectal Cancer Screening | Maria Mayorga, NCSU | ||
Keynote: Data: where Precision Oncology and Learning Health meet | Warren Kibbe, Duke University | ||
Working Group Formations | |||
SAS 2102, (seats 40) | |||
SAS 2106, (seats 44) | |||
SAS 2225, (seats 48) | |||
SAS 2229, (seats 48) | |||
SAS 2235, (seats 52) |
Friday, August 17, 2018
SAS Hall Room 2203 & Second Floor Classrooms, NC State University, Raleigh, NC
Break out Classrooms:
Description | Speaker | Slides | Videos |
---|---|---|---|
Working Group Formations | |||
SAS 2102, (seats 40) | |||
SAS 2106, (seats 44) | |||
SAS 2225, (seats 48) | |||
SAS 2229, (seats 48) | |||
SAS 2235, (seats 52) | |||
Wrap-Up | |||
Shuttle to RDU Airport |
Questions: email [email protected]