2017 Biomedical Informatics Symposium at Georgetown October 27, 2017

The 6th annual Biomedical Informatics symposium at Georgetown was a huge success with over 270 registered participants and a poster session that included over​ ​35 selected scientific, team science projects from across the Georgetown community, affiliated local universities, industry sponsors, and other collaborators. Many leaders in the field of bioinformatics joined us to share their work in important areas of Precision Medicine, Big Data in Biomedicine, and Emerging Technologies for Health Data Analytics.Deloitte andGenomOncology sponsored a lunch panel that discussed Decision Support for Precision Oncology and Health Registries as a means to Advance Therapeutic Development below is a summary of talks and panel discussions.

The event was graciously supported by many industry partners listed below:

In addition we had institutional support from our Lombardi Comprehensive Cancer Center, the Georgetown-Howard Universities Center for Clinical and Translational Science (GHUCCTS), and the Georgetown Center of Excellence in Regulatory Science and Innovation (CERSI).

The program booklet with talk titles as well as poster abstracts can be found here (new window) For more information about the day please read the #GUInformatics tweets (new window)and a new blog post by Subha Madhavan, Chair, Symposium Program Committee.

Presentations from the 2017 symposium 

Keynote Speaker

Patricia Brennan, RN, PhD, Director of the National Library of Medicine

We were delighted to welcome Dr. Patricia Brennan as the Keynote Speaker for the 2017 ICBI Symposium.

Keynote Address: The future of Data-powered Health​

Panel 1: Distributed, Large Cancer Networks Driving Precision Oncology

Chair: John Marshall, MD, MedStar Georgetown University Hospital

Zach Weinberg, Flatiron

Building a Real-World Clinico-Genomic Database

Robert Currie, MBA, University of California Santa Cruz

The Cancer Gene Trust: Towards a World Wide Genomic Internet

Hongyue Dai, PhD, M2Gen

ORIEN Avatar

Robert S. Miller, MD, FACP, FASCO, ASCO

ASCO’s CancerLinQ: Real-World Insights to Drive Quality Improvement and Precision Oncology

Danielle Carnival, PhD, Biden Foundation

Cancer Moonshot and Beyond: National Initiatives to Advance Health

Panel 2: Are we Educating the Next Generation of Data Scientists to Take on Emerging Challenges?

Yuriy Gusev, PhD, Georgetown University

Of MOOCs, Flying Cars and Nano-Degrees.

Ben Busby, PhD, National Institute of Health

Hackathons, Visitor Sprints and Student Competitions: Adventures in Unconventional Data Science Training!

Francois Modave, PhD, University of Florida

Data Science, Core Competencies, and Program Accreditation.

Baris Suzek, PhD, Georgetown University

An International Perspective on Bioinformatics Education; Challenges & Solutions

Panel 3: Informatics Tools for Cancer Surveillance

Chair: Christopher Loffredo, PhD, Georgetown University

Valentina Petkov, MD, MPH, National Institute of Health

National Cancer Institute’s SEER Program in the 21st century

Eric Durbin, PhD, University of Kentucky

The Kentucky Cancer Registry: Our Journey Towards Precision Cancer Surveillance

Antoinette Stroup, PhD, Rutgers University.

New Jersey State Cancer Registry: Fighting Cancer with Quality Data and Innovative Research

Panel 4: Current Trends in Molecular Diagnostics

Chair: Robert Beckman, MD, Georgetown University

Sharon Plon, MD, PhD, Baylor University

Advances in Cancer Molecular Diagnostics for Pediatric Cancer Patients

Robert B. Scharpf, PhD, Johns Hopkins University

Integrated Genomic Analyses of Ovarian Cancer Cell Lines

Pamela Becker, MD, PhD, University of Washington

Implementing Precision Medicine Clinical Trials for Refractory Acute Leukemia Based on Molecular Data and Functional Screening

Panel 5: Will Artificial Intelligence and Machine Learning Deliver for Biomedicine? How soon?

Chair: Jason Moore, PhD, University of Pennsylvania

Automated Machine Learning

David Page, PhD, University of Wisconsin at Madison

High Throughput Machine Learning for Health Care

Yue Joseph Wang, PhD, Virginia Tech

Machine Learning for Improved Relevance of Pathways and Markers

Sponsor Presentations


Manuel Glynias, BA, GenomeOncology

Decision Support for Precision Oncology

Juergen Klenk, PhD, and Kimberly Myers, PhD, Deloitte

Health Registries as a Means to Advance Therapeutic Development

Photo Gallery