Introducing the 2020 Poolside Chat Series.
This summer we will have three sessions where we will have interactive conversations with leaders who will share their knowledge about career opportunities in industry, government, and scientific societies.
Session 1: Industry
Topic: Data Science: Applications and Opportunities
When: Tuesday, July 21st
Time: 4 – 5:30 pm ET
This event is open to all of our TL1 programs. If you are interested in attending please use the register and a link to the meeting will be sent to you.
If you need a special accommodation, please email education@clic-ctsa.org
FACILITATORS
Sarra Djemil, PhD TL1 Postdoctoral Fellow Georgetown-Howard Universities Center for Clinical and Translational Science
Martha Gay, PhD TL1 Postdoctoral Fellow Georgetown-Howard Universities Center for Clinical and Translational Science
GUEST SPEAKERS:
Tim Andrews, CTO
Tim Andrews is a leader in Booz Allen’s civil and commercial business, providing strategy and organizational design, analytics, technology, and cybersecurity services for commercial companies and federal agencies. His areas of expertise include emerging technologies, IT transformation, IT architecture, IT operations, data science, cybersecurity, and health IT. Tim’s primary focus is helping Booz Allen leaders and clients understand the operational advantages and pitfalls of important emerging technologies.
Charlie Barr, MD, MPH
Charlie is a Board-Certified physician with 18 years’ experience in clinical practice, teaching and research. Charlie is familiar with the technical challenges in obtaining evidence and building reliable knowledge, clinical guidelines and decision support. He has advanced training and practical experience in research methodology, study design and conduct (including retrospective databases, prospective observational studies/registries, and randomized clinical trials), and analytic methods (biostatistics, meta-analysis, epidemiology).
Michael N. Liebman, Ph.D
Managing Director of IPQ Analytics, LLC and CSO of United Cancer Centers. His research focuses on
computational models of disease progression that stress risk detection, disease processes and clinical pathway modeling, and disease stratification from the clinical perspective. He utilizes systems-based approaches and design thinking to represent and analyze risk/benefit analysis in pharmaceutical development and healthcare.