Machine Learning for Personalized Medicine

Marie-Curie Action: "Initial Training Networks"

Some of the talks are available as videos on Watch them here!

Invited research talks

Wolfgang Huber (EMBL Heidelberg)

spoke on Statistical methods for detecting differential activity from count data in high-throughput sequencing / Complex phenotypes, genetic interactions, automated imaging based phenotyping
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Yves Moreau (KU Leuven)

spoke on Variant prioritization by genomic data fusion

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Michal Rosen-Zvi (IBM Research Haifa)

spoke on Machine learning techniques for predicting complications and evaluating drugs efficacy

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Daniel Huson (Universtiy of Tübingen)

told us how to win the DTRA Algorithm Challenge:

Scientific Lectures

Karsten Borgwardt (MPI Tübingen)

spoke on Data Mining in the Life Sciences

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Florence Demenais (INSERM Paris)

spoke on Statistical Genetics

Neil Lawrence (U Sheffield)

spoke on Probabilistic Approaches for Computational Biology and Medicine

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Jean-Philippe Vert (Mines ParisTech)

spoke on Machine Learning for Personalized Genomics

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Felix Agakov (Pharmatics Edinburgh)

spoke on Machine Learning for Drug Development and Personalized Medicine

Complementary Skills Lectures

Bob Williamson

spoke on Research problem choice, leadership and execution

Mark Cutter

spoke on Ethics in Medicine and Data Privacy

Kristel Van Steen

spoke on Scientific communication

Poster Session