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Interpretation and Evolution of Cancer Genomes

Talk Abstract: In the past few years, somatic mutations in thousands of cancer exomes/genomes have been measured by high-throughput DNA sequencing. Despite this wealth of data, our understanding of the mutational landscape in cancer remains incomplete. In this talk, Dr. Raphael will describe computational approaches to translate cancer sequencing data into deeper insights about the processes that drive cancer development. These include techniques to identify combinations of mutations that perturb cellular networks, as well as algorithms to infer patterns of tumor evolution and metastasis.

Biography: Benjamin Raphael, PhD, is an Associate Professor in the Department of Computer Science at Princeton University. Previous to joining Princeton University, Dr. Raphael was an Associate Professor in the Department of Computer Science and Director of the Center for Computational Molecular Biology (CCMB) at Brown University. His research focuses on the design of algorithms for genome sequencing and interpretation. Recent interests include structural variation in human and cancer genomes, and network/pathway analysis of genetic variants. Dr. Raphael received an SB in Mathematics from MIT, a PhD in Mathematics from the University of California, San Diego (UCSD), and completed postdoctoral training in Bioinformatics and Computer Science at UCSD. He is the recipient of an NSF CAREER award, a Career Award from the Burroughs Wellcome Fund and a Sloan Research Fellowship.

To read more about Dr. Benjamin Raphael’s research, please visit: Google Scholar – Benjamin Raphael, PhD











When: Wed., May. 17, 2017 at 4:00 pm - 5:30 pm
Where: New York Genome Center
101 Sixth Ave.
646-977-7000
Price: Free
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Talk Abstract: In the past few years, somatic mutations in thousands of cancer exomes/genomes have been measured by high-throughput DNA sequencing. Despite this wealth of data, our understanding of the mutational landscape in cancer remains incomplete. In this talk, Dr. Raphael will describe computational approaches to translate cancer sequencing data into deeper insights about the processes that drive cancer development. These include techniques to identify combinations of mutations that perturb cellular networks, as well as algorithms to infer patterns of tumor evolution and metastasis.

Biography: Benjamin Raphael, PhD, is an Associate Professor in the Department of Computer Science at Princeton University. Previous to joining Princeton University, Dr. Raphael was an Associate Professor in the Department of Computer Science and Director of the Center for Computational Molecular Biology (CCMB) at Brown University. His research focuses on the design of algorithms for genome sequencing and interpretation. Recent interests include structural variation in human and cancer genomes, and network/pathway analysis of genetic variants. Dr. Raphael received an SB in Mathematics from MIT, a PhD in Mathematics from the University of California, San Diego (UCSD), and completed postdoctoral training in Bioinformatics and Computer Science at UCSD. He is the recipient of an NSF CAREER award, a Career Award from the Burroughs Wellcome Fund and a Sloan Research Fellowship.

To read more about Dr. Benjamin Raphael’s research, please visit: Google Scholar – Benjamin Raphael, PhD

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