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May
2018
15
Five Points Lecture: Eli M. Van Allen, MD

4:00 PM — 6:00 PM

Harvard Medical School, Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Broad Institute

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About

 

 

 

Eli M. Van Allen, MD
Assistant Professor of Medicine
Harvard Medical School

 

Department of Medical Oncology
Dana-Farber Cancer Institute

 

Department of Medicine
Brigham and Women’s Hospital

 

Associate Member
Broad Institute

 

Talk Title: “Clinical Computational Oncology for Precision Cancer Medicine

 

With the rapid rise of molecular profiling, integrative immunologic biomarkers, novel therapeutics, and increasingly structured medical record data, scientific strategies that link these activities through a robust data science approach may accelerate translational discoveries and transform oncology practice at the point of care.

 

In this presentation, Dr. Van Allen will share how an emerging interdisciplinary science at the intersection of these activities – clinical computational oncology – is leading efforts to:

 

1) Establish clinical interpretation algorithms that enable prospective precision oncology;
2) Discover resistance mechanisms to existing (e.g. platinum chemotherapy) and emerging (e.g. immune checkpoint blockade) cancer therapies;
and
3) Translate computational methods for emerging technologies into immediate clinical application, across a series of cancers and contexts.

 

At the intersection of clinical oncology, computational biology, and translational cancer research, clinical computational oncology will transform the wealth of data emerging at scale into discoveries that impact patients and catalytic translational research.

 

Eli Van Allen, MD, is an Assistant Professor of Medicine at Harvard Medical School, a clinician at Dana-Farber/Partners Cancer Care, and an Associate Member at the Broad Institute of MIT and Harvard. His research focuses on computational cancer genomics, the application of new technologies such as massively parallel sequencing to precision cancer medicine, and resistance to targeted therapeutics. As both a computational biologist and medical oncologist, he has specific expertise in clinical computational oncology and the development of algorithms to analyze and interpret genomic data for clinically focused questions. Overall, his research will make important contributions to the field of precision cancer medicine and resistance to targeted therapeutics via expertise and study in translational and clinical bioinformatics.

 

Originally from Los Angeles, he studied Symbolic Systems at Stanford University, obtained his MD from UCLA, and completed a residency in internal medicine at UCSF before coming to Boston and completing a medical oncology fellowship at the Dana-Farber/Partners Cancer Care program.

 

To learn more about Dr. Van Allen’s research, visit his lab page and Google Scholar – Eli Van Allen, MD.

 

 

Q&A Moderator:
Neville Sanjana, PhD
Core Faculty Member
New York Genome Center

Assistant Professor of Biology
New York University

Assistant Professor of Neuroscience and Physiology
NYU School of Medicine

 

 

 

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