Biological Data Science
November 7 - 10, 2018
Abstract Deadline: August 17, 2018


Christina Curtis, Stanford University
Barbara Engelhardt, Princeton University
Jeff Leek, Johns Hopkins University
Michael Schatz, Cold Spring Harbor Laboratory

We are pleased to announce the third meeting on Biological Data Science, which will begin on Wednesday, November 7 at 7:30 p.m. and conclude with lunch on Saturday, November 10, 2018. 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:

Master Lecture on Deep Learning Techniques:

Education Forum and Panel Discussion:

Confirmed Discussion Leaders:

Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material.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.

All questions pertaining to registration, fees, housing, meals, transportation, visas, abstract submission or any other matters should be directed to Catie Carr at

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 Catie Carr at 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 November.


Academic Package $1190
Graduate/PhD Student Package $1000
Corporate Package $1505
Academic/Student No-Housing Package $815
Corporate No-Housing Package $1015

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.