Machine Learning for Personalized Medicine

Marie-Curie Action: "Initial Training Networks"

Projects

Machine Learning for biomarker discovery from
heterogeneous data

Felipe Llinarez Lopez, Supervisor: Karsten Borgwardt

ETH Zürich

Predicting Phenotype through Interaction of Genotype,
Epigenotype and Environment with Probabilistic Models

Ilaria Bonavita, Supervisor: Bertram Müller-Myhsok

Max Planck Institute of Psychiatry

High-throughput detection of higher-order epistasis using
GPGPU computing methods

Meiwen Jia, Supervisor: Bertram Müller-Myhsok

Max Planck Institute of Psychiatry

Patient subtype discovery from heterogeneous datasets
via unsupervised machine learning

Menno Witteveen, Supervisor: Karsten Borgwardt

ETH Zürich

Adverse drug reaction discovery 

Victor Bellon, Supervisor: Jean-Philippe Vert

Mines ParisTech
 

Learning Decision Support for Personalized Medicine

Cristóbal Esteban, Supervisor: Volker Tresp

Siemens
  

Analysis and detection of differential isoform expression and
splicing dysregulation events from RNA-seq data

Max Zwiessele, Supervisor: Neil Lawrence

University of Sheffield

Development of Methods for Patient Group Stratification and
Tailored Medical Interventions

Daniel Urda Muñoz, Supervisor: Felix Agakov

Pharmatics 

An –omics integrated flexible framework for epistasis analysis,
acknowledging interpretation capacity

Ramouna Fouladi, Supervisor: Kristel Van Steen

University of Liege 

Robust molecular signatures for personalized medicine

Yunlong Jiao, Supervisor: Jean-Philippe Vert

Mines ParisTech
 

Comparison of multi-marker methods to identify the genetics
pathways underlying asthma

Yuanlong Liu, Supervisor: Florence Demenais

INSERM 

Stochastic modelling and graphical models for the analysis and
prediction of phenotype interactions

Melanie Fernandez Pradier, Supervisor: Fernando Perez Cruz

University Carlos III Madrid 

Modeling functional and regulatory modules using statistical
and machine learning methods

Cankut Çubuk, Supervisor: Joaquin Dopazo

CIPF 

Functional annotation of genomic variation explaining phenotypes

Yi Zhong, Supervisor: Gunnar Rätsch

Memorial Sloan-Kettering Cancer Center

 

     

 

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