Biological Data Science
October 26 - 29, 2016
Abstract Deadline: August 27, 2016


Bonnie Berger, Massachusetts Institute of Technology
Jeff Leek, Johns Hopkins University
Michael Schatz, Cold Spring Harbor Laboratory

Pre-Meeting Biomedical Data Science Hackathon (October 24 - 26) [separate application required]

We are pleased to announce the second meeting on Biological Data Science, which will begin on Wednesday, October 26 at 7:30 p.m. and conclude with lunch on Saturday, October 29, 2016. 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.
Discussion Themes:
  • Data Infrastructure: storage, access, databases, and data standards
  • Compute Infrastructure: processors, clouds, and workflows
  • Scalable Algorithmics: searching, streaming, and randomized or parallel algorithms
  • Mining Biological Data: machine learning, statistics, normalization, modeling, inference, and visualization
  • Software for Biologists: creating, disseminating, training, and funding such software
  • Knowledge Extraction: application areas and data integration
  • Sociology: legal, privacy, and ethical issues, as well as technologies for human data
Confirmed Keynote:
Xiaole Shirley Liu, Professor of Biostatistics and Computational Biology, Harvard School of Public Health

Master Lecture on Deep Learning Techniques:
Olga Troyanskaya
, Princeton University

Education Forum and Panel Discussion:
Mark Gerstein, Yale University

Confirmed Discussion Leaders:
Alexis Battle, Johns Hopkins University
Nancy Cox, Vanderbilt University
Barbara Engelhardt
, Princeton University
Jeremy Goecks
, George Washington University
Michael Hoffman, University of Toronto
Rafael Irizarry, Dana-Farber Cancer Institute and Harvard University
Ben Langmead, Johns Hopkins University
Martin Morgan
, Roswell Park Cancer Institute
Ben Neale, Massachusetts General Hospital
Lior Pachter, University of California, Berkeley
Benedict Paten
, University of California, Santa Cruz
Valerie Schneider, National Center for Biotechnology Information

Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material. Status of abstracts (talk versus poster) will be posted on our Web site as soon as decisions have been made by the organizers.

We are eager to have as many young scientists as possible attend since they are likely to benefit most from this meeting. We will be applying for funds from government and industry to partially support graduate students and postdoctoral fellows. Please apply in writing to Heather Johnson stating your need for financial support. Preference will be given to those submitting abstracts.

We look forward to seeing you at Cold Spring Harbor Laboratory in October 2016.


Academic Package $1,140
Graduate/PhD Student Package $955
Corporate Package $1,445
Academic/Student No-Housing Package $780
Corporate No-Housing Package $975

Hackathon Pricing (Meeting Registrants Only)
Meeting registrants with extra 3 nights room & board (Oct 23,24,25) $800
Meeting registrants with extra 2 nights room & board  (Oct 24,25) $650
Meeting registrants with board only $350

Hackathon Only Pricing
3 nights room & board (Oct 23,24,25) $900
2 nights room & board (Oct 24,25) $750
Board only $450  

There is a 20% discount for graduate students for the Hackathon.  

Regular packages are all-inclusive and cover registration, food, housing, parking, a wine-and-cheese party, cocktail reception, and lobster banquet. No-Housing packages include all costs except housing. Full payment is due four weeks prior to the meeting.