Machine Learning for Personalized Medicine

David Balding
University of Melbourne, Australia
david.balding@unimelb.edu.au

Heritability-based models for prediction of complex traits 

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Karsten Borgwardt
ETH Zürich, Switzerland
karsten.borgwardt@bsse.ethz.ch

Statistical Significance in Biomarker Discovery

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Iain Buchan
University of Manchester, Health e-Research Centre, Manchester, UK 

Buchan@manchester.ac.uk

Discovering Subgroups of Disease with Model-based Machine Learning


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Mike Croucher
University of Sheffield, UK
m.croucher@sheffield.ac.uk 
 

Is your research software correct’?

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Peter Diggle
Lancaster University, UK
p.diggle@lancaster.ac.uk 

Statistical Methods for real-time monitoring of health outcomes

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Winston Hide
University of Sheffield, UK
winhide@sheffield.ac.uk

Translation and personalised medicine: Genome medicine meets reality

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Oliver Hofmann
University of Glasgow, UK
oliver.hofmann@glasgow.ac.uk

The Needle in the haystack - or how we Identify true genomic variation
 

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Chris Holmes
University of Oxford, UK
cholmes@stats.ox.ac.uk
 

Computational Decision Theory (Model Misspecification)

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Neil Lawrence
University of Sheffield, UK
n.lawrence@sheffield.ac.uk

Peer Review and the NIPS Experiment

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Richard Mead
University of Sheffield, UK
r.j.mead@sheffield.ac.uk
 

Mouse models of motor neuron disease (MND); scientific and ethical aspects

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Marta Milo
University of Sheffield, UK 

m.milo@sheffield.ac.uk 

Impact of Machine Learning on Personalised Health: past, present and future

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Jonathan Price
Doughty Street Chambers, London, UK
j.price@doughtystreet.co.uk

The law and ethics of data 

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Gunnar Rätsch
Memorial Sloan Kettering Cancer Center, New York, USA
raetsch@cbio.mskcc.org


Deep sequencing and functional genomics

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Magnus Rattray
University of Manchester, UK
magnus.rattray@manchester.ac.uk

Probabilistic modelling of omic time course data

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Marcelo Rivolta

University of Sheffield, UK

m.n.rivolta@sheffield.ac.uk
 

The road from bench to bedside: ethical considerations to animal use in preclinical research

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Oliver Stegle

The European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
stegle@ebi.ac.uk

Tutorial: Modeling molecular heterogeneity between individuals and single cells

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Catalina Vallejos
MRC Biostatistics Unit and EMBL European Bioinformatics Institute, Cambridge, UK 
catalina@ebi.ac.uk 

Tutorial: Statistical challenges in the analysis of single-cell transcriptomics data

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Aki Vehtari

Aalto University, Finland
aki.vehtari@aalto.fi

Gaussian processes for survival analysis

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