[Conference] CSHL Biological Data Science 2024
Cata Vallejos
Dear all,
We are pleased to announce the sixth Cold Spring Harbor meeting on Biological Data Science, which will begin on Wednesday, November 13 at 7:30 p.m. and conclude with lunch on Saturday, November 16, 2024.
The scope of this meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research. We welcome abstracts from researchers in both academia and industry who work on technical aspects of the discussion topics in all areas of biology, from genomics to imaging. We also welcome abstracts from translational and clinical researchers who regularly mine large data sets as part of their projects. The goal is to assemble a multidisciplinary audience that will discuss best practices, identify challenges, and highlight successes in the analysis of large biological data sets.
More details about the conference are available at: https://meetings.cshl.edu/meetings.aspx?meet=DATA&year=24
Abstract deadlines:
Talks: August 23, 2024
Posters: October 1, 2024
Keynote Speakers:
Benjamin Neale, Broad Institute/ Massachusetts General Hospital
Katie Pollard, Gladstone Institute/ UC San Francisco
Confirmed Discussion Leaders:
Mentewab Ayalew, Spelman College
Jack Bowden, University of Exeter and Novo Nordisk Research Centre, UK
Robert Carroll, Vanderbilt University
Yoav Gilad, University of Chicago
Michal Levo, Columbia University
Tobias Marschall, Heinrich Heine University, Germany
Chris Mason, Weill Cornell Medicine
Athma Pai, UMass Chan
Victoria Popic, Broad Institute of MIT and Harvard
Sohini Ramachandran, Brown University
Gunnar Ratsch, ETH Zürich, Switzerland
Genevieve Stein-O'Brien, Johns Hopkins University
JXTX Foundation scholarships:
The JXTX Foundation will be offering six scholarships to attend (3 conference registrations & 3 registrations + travel). Open to all grad students working in genomics and data science. More details are available at: https://jxtxfoundation.org/news/2024-07-26-bds
On behalf the organising committee (Elinor Karlsson, Michael Schatz and myself)
Catalina Vallejos PhD (she/her)
Reader (Associate Professor)
Biomedical Data Science Research Group
Medical Research Council Human Genetics Unit at the University of Edinburgh
Twitter: @CataVallejosM
Website: https://vallejosgroup.github.io