Machine Learning for Personalized Medicine

Marie-Curie Action: "Initial Training Networks"

Program

Venue: Max Planck House, Tübingen, Spemannstr. 36

Monday, Sept 23

08:30

Registration

09:00

Karsten Borgwardt
Scientific coordinator of the ITN “Machine Learning for Personalized Medicine”

Opening

09:15

Scientific lecture 1 - Part 1

Karsten Borgwardt
Max Planck Institutes Tübingen & University of Tübingen

Data Mining in the Life Sciences

11:00

Complementary skills course 1 - Part 1

Bob Williamson
NICTA & Australian National University, Canberra

Research problem choice, leadership and execution

12:30

Lunch /

Meeting of the ITN supervisory board (board members only)

14:00

Invited research talk

Wolfgang Huber,
EMBL Heidelberg

Part 1: Statistical methods for detecting differential activity from count data in high-throughput sequencing

Part 2: Complex phenotypes, genetic interactions, automated imaging based phenotyping

15:45 - 18:45

PhD advisory committees (ITN students and supervisors only)

17:00

Guided tour of the old town of Tübingen (for those who do not yet know Tübingen)

19:00

Social event

“Tübinger Stocherkahn”

Trip on the renowned punting boats along the River Neckar

20:00

Social event

Welcome Dinner

at the “Casino am Neckar” in Tübingen

Tuesday, Sept 24

09:00

Scientific lecture 1 - Part 2

Karsten Borgwardt
Max Planck Institutes Tübingen & University of Tübingen

Data Mining in the Life Sciences

11:00

Invited research talk

Michal Rosen-Zvi
IBM, Haifa

Machine learning techniques for predicting complications and evaluating drugs efficacy
Three examples of real world evidence studies: combating AIDS, predicting diabetes complications and the epilepsy trial and error challenge.

12:30

Lunch

14:00

Complementary skills course 1 - Part 2

Bob Williamson
NICTA & Australian National University, Canberra

Research problem choice, leadership and execution

15:45 - 19:00

Scientific lecture 2

Florence Demenais
INSERM, Paris

Statistical Genetics

Wednesday, Sept 25

09:00

Scientific lecture 3

Neil Lawrence
University of Sheffield

Probabilistic Approaches for Computational Biology and Medicine

12:30

Lunch

14:00

Complementary skills course 2

Mark Cutter

Ethics in Medicine

15:45

Scientific lecture 4 - part 1

Jean-Philippe Vert
Mines ParisTech, Paris

Machine Learning for Personalized Genomics

17:15

Prof. Dr. Daniel Huson
University of Tübingen
Winner of the DTRA Algorithm Challenge
http://www.prweb.com/releases/dtra/algorithmchallenge/prweb11150852.htm

18:00

Social event

Dinner and barbecue at the Max Planck House

19:30

Poster Session

20:00

Meeting of the Marie Curie fellows (ITN students only)

Thursday, Sept 26

09:00

Scientific lecture 4 - part 2

Jean-Philippe Vert
Mines ParisTech, Paris

Machine Learning for Personalized Genomics

11:00

Invited research talk

Yves Moreau
KU Leuven

Variant prioritization by genomic data fusion

12:30

Lunch

14:00

Complementary skills course 3

Mark Cutter

Data privacy

15:45

Social event

Visit of Lichtenstein Castle

Dinner

Bus trip - estimated to be back in Tübingen at 21:30

Friday, Sept 27

09:00

Scientific lecture 5

Felix Agakov
Pharmatics, Edinburgh

Machine Learning for Drug Development and Personalized Medicine

12:30

Karsten Borgwardt 
Scientific coordinator of the ITN “Machine Learning for Personalized Medicine”

Closing remarks

12:45

Lunch

14:00*

Complementary skills course 4

Kristel van Steen
University of Liege

Scientific communication

16:00

Meeting of the ITN supervisory board (board members only)

*The lectures on Friday afternoon will take place at the lecture hall of the MR Center, Spemannstr. 41, next to the Max Planck House

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