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Data Science, Learning, and Applications to Biomedical & Health Sciences

Data Science, Learning, and Applications to Biomedical & Health Sciences

Thursday, January 7, 2016 - Friday, January 8, 2016

The New York Academy of Sciences

Unprecedented increases in data volume, variety, and velocity, collectively termed “Big Data”, present a unique opportunity to gain insights, derive knowledge, and foster discovery that will result in improved patient outcomes, reduced costs, and accelerated biomedical advances. This Workshop will provide a forum for investigators to assess the state-of-the-art, identify related challenges, and propose solutions to enhance the utility of "Big Data” technology toward understanding normal biological and disease processes at the population, individual patient, and cellular levels within the fields of neuroscience, cancer, and cardiovascular disease and using data from multiple sources.

You can find the workshop proceedings, including papers covering both short presentations and posters, at this link:

https://sites.google.com/site/dslabhs2016/proceeding-papers

Agenda

The preliminary agenda is available and can be found here: https://sites.google.com/site/dslabhs2016/preliminary-program

Speakers

Winfried Denk, PhD

The Max Planck Institute of Neurobiology

Michelle Dunn, PhD

NIH Big Data to Knowledge (BD2K), National Institutes of Health

Wendy J. Nilsen, PhD

Directorate for Computer & Information Science & Engineering, National Science Foundation

Organizers

Committee Co-Chairs

Nabil Adam, PhD

Rutgers University

George Hripcsak, MD

Columbia University
website

Kathleen McKeown, PhD

Columbia University

Robert Wieder, MD, PhD

Rutgers University

Jennifer Costley, PhD

The New York Academy of Sciences

Committee Members

W. Art Chaovalitwongse, PhD

University of Washington

Feyzi Bagirov, MBA

Becker College
website

Jonathan Bickel, MD

Harvard Medical School

Chris Botka, MS

Harvard Medical School

Javier Cabrera, PhD

Rutgers University
website

Hsinchun Chen, PhD

University of Arizona

Greg Cooper, MD, PhD

University of Pittsburgh

Ray Dorsey, MD

University of Rochester

Haimonti Dutta, PhD

State University of New York at Buffalo
website

Noémie Ellhadad, PhD

Columbia University
website

Rainer Fuchs, PhD

Harvard Medical School

Tim Gage, PhD

State University of New York at Albany

Thomas Grabowski, MD

University of Washington School of Medicine

Leslie Greengard, MD, PhD

New York University

Steve Hanson, PhD

Rutgers University

Greg Hess, MD

Symphony Health Solutions

Vasant Honavar, PhD

Pennsylvania State University

Eric Hughes, PhD

The MITRE Corporation

Byoung-Do Kim, PhD

University of Virginia

Isaac Kohane, MD, PhD

Harvard Medical School

John Kostis, MD

Rutgers University

Yann LeCun, PhD

Facebook/New York University

Ji Liu, PhD

University of Rochester

Marianthi Markatou, PhD

State University of New York at Buffalo

Benjamin Marlin, PhD

University of Massachusetts Amherst

Dimitirs Metaxas, PhD

Rutgers University

Jason Moore, PhD

University of Pennsylvania

Lucilla Ohno-Machado, MD, PhD

University of California  San Diego

Chirag Patel, PhD

Harvard Medical School

Marc Rigas, PhD

University of Pennsylvania

Suchi Saria, PhD

Johns Hopkins University

Caroline Shamu, PhD

Harvard Medical School

Piotr Sliz, PhD

Harvard Medical School

Peter Soger, PhD

Harvard Medical School

Robert Strawderman, ScD

University of Rochester

Andrew Talal, MD

State University of New York at Buffalo

Ramin Zabih, PhD

Cornell University

Martin Zand, MD, PhD

University of Rochester

Daniel Zeng, PhD

University of Arizona

Travel & Lodging

Our Location

The New York Academy of Sciences

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New York, NY 10007-2157
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Directions to the Academy

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