MLSB15, the Ninth International Workshop on Machine Learning in Systems Biology will take place in conjunction with the Annual Conference on Neural Information Processing Systems (NIPS 2015) in Montreal, Canada, on Dec 12, 2015.

The 2014 workshop proceedings containing full abstracts can be downloaded from here.

NEW: Selected talks are available on YouTube. See the program for links to the videos.

Workshop description

The field of computational biology has seen dramatic growth over the past few years. A wide range of high-throughput technologies developed in the last decade now enable us to measure parts of a biological system at various resolutions – at the genome, epigenome, transcriptome, and proteome levels. These technologies are now being used to collect data for an ever-increasingly diverse set of problems, ranging from classical problems such as predicting differentially regulated genes between time points and predicting subcellular localization of RNA and proteins, to models that explore complex mechanistic hypotheses bridging the gap between genetics and disease, population genetics and transcriptional regulation. Fully realizing the scientific and clinical potential of these data requires developing novel supervised and unsupervised learning methods that are scalable, can accommodate heterogeneity, are robust to systematic noise and confounding factors, and provide mechanistic insights.

The goals of this workshop are to

  1. present emerging problems and innovative machine learning techniques in computational biology, and
  2. generate discussion on how to best model the intricacies of biological data and synthesize and interpret results in light of the current work in the field.
We will invite several rising leaders from the biology/bioinformatics community who will present current research problems in computational biology and lead these discussions based on their own research and experiences. We will also have the usual rigorous screening of contributed talks on novel learning approaches in computational biology. We encourage contributions describing either progress on new bioinformatics problems or work on established problems using methods that are substantially different from established alternatives. Kernel methods, graphical models, feature selection, non-parametric models and other techniques applied to relevant bioinformatics problems would all be appropriate for the workshop. We are particularly keen on considering contributions related to the prediction of functions from genotypes and that target data generated from novel technologies such as gene editing and single cell genomics, though we will consider all submissions that highlight applications of machine learning into computational biology. The targeted audience are people with interest in learning and applications to relevant problems from the life sciences, including NIPS participants without any existing research link to computational biology.


Nicolo Fusi Microsoft Research, Cambridge (USA)
Anna Goldenberg SickKids Research Institute program of Genetics and Genome Biology (Canada)
Sara Mostafavi University of British Columbia (Canada)
Gerald Quon MIT, Cambridge (USA)
Oliver Stegle EMBL (UK)


Program Committee 2015

Alexis Battle, JHU
Michael A. Beer, JHU
Andreas Beyer, TU Dresden
Karsten Borgwardt, ETH Zurich
Gal Chechik, Gonda brain center, Bar Ilan University
Chao Cheng, Dartmouth Medical School
Manfred Claassen, ETH Zurich
Florence d'Alché-Buc, Université d'Evry-Val d'Essonne, Genopole
Saso Dzeroski, Jozef Stefan Institute
Jason Ernst , UCLA
Pierre Geurts, University of Liège
James Hensman, The University of Sheffield
Antti Honkela, University of Helsinki
Laurent Jacob, Mines Paris Tech
Samuel Kaski, Aalto University
Seyoung Kim, CMU
David Knowles, Stanford
Anshul Kundaje, Stanford
Neil Lawrence, University of Sheffield
Su-In Lee, University of Washington
Shen Li, Mount Sinai, New York
Michal Linial, Hebrew University
John Marioni, EMBL-EBI
Martin Renqiang Min, NEC Labs America
Yves Moreau, KU Leuven
Alan Moses, University of Toronto
Bernard Ng, UBC
William Noble, University of Washington
Uwe Ohler, MDC Berlin & Humboldt University
Yongjin Park, MIT
Leopold Parts, University of Toronto
Dana Pe'er, Columbia University
Nico Pfeifer, Max Planck Institute
Magnus Rattray, University of Manchester
Simon Rogers, University of Glasgow
Juho Rousu, Aalto University
Guido Sanguinetti, University of Edinburgh
Alexander Schliep, Rutgers University
Jean-Philippe Vert, Ecole des Mines de Paris
Jinbo Xu, Toyota Technological Institute of Chicago
Chun (Jimmie) Ye, UCSF
... and all the organizers (see above)