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Workshop on Computational Biology
Dana Pe'er · Christina Leslie · Barbara Engelhardt · Elham Azizi · Sandhya Prabhakaran · Meghana Kshirsagar · Ambrose Carr

Wed Aug 09 03:30 PM -- 12:30 AM (PDT) @ C4.4
Event URL: https://sites.google.com/view/compbioworkshopicml2017 »

The workshop will showcase recent research in the field of Computational Biology. There has been significant development in genomic sequencing techniques as well as imaging technologies that not only generate huge amounts of data but provide unprecedented levels of resolution, that of a single cell and even subcellular resolution. This availability of high dimensional data, at multiple spatial and temporal resolutions and capturing several perspectives of biological phenomena has made machine learning methods increasingly relevant for computational analysis of the data. Conversely, biological data has also exposed unique challenges and problems that call for the development of new machine learning methods. This workshop aims at bringing in researchers working at the intersection of Machine Learning and Biology to present recent advances and open questions in computational biology to the ICML community.

Author Information

Dana Pe'er (Sloan Kettering Institute)
Christina Leslie (Memorial Sloan Kettering Cancer Center)
Barbara Engelhardt (Princeton University)
Barbara Engelhardt

Barbara E. Engelhardt, an associate professor, joined the Princeton Computer Science Department in 2014 from Duke University, where she had been an assistant professor in Biostatistics and Bioinformatics and Statistical Sciences. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley, advised by Professor Michael Jordan. She did postdoctoral research at the University of Chicago, working with Professor Matthew Stephens, and three years at Duke University as an assistant professor. Interspersed among her academic experiences, she spent two years working at the Jet Propulsion Laboratory, a summer at Google Research, and a year at 23andMe, a DNA ancestry service. Professor Engelhardt received an NSF Graduate Research Fellowship, the Google Anita Borg Memorial Scholarship, and the Walter M. Fitch Prize from the Society for Molecular Biology and Evolution. As a faculty member, she received the NIH NHGRI K99/R00 Pathway to Independence Award, a Sloan Faculty Fellowship, and an NSF CAREER Award. Professor Engelhardt’s research interests involve developing statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms of complex phenotypes and human disease.

Elham Azizi (Memorial Sloan Kettering Cancer Center)
Sandhya Prabhakaran (Memorial Sloan Kettering Cancer Centre)
Meghana Kshirsagar (Memorial Sloan Kettering Cancer Center)
Ambrose Carr (Memorial Sloan Kettering Cancer Center)

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