Conference Schedule

Hugues Abriel
Prof. Hugues Abriel
Silvia Quarteroni
Dr. Silvia Quarteroni
Lea Friedli
Dr. Lea Friedli
Janna Hastings
Prof. Janna Hastings
Raphael Sznitman
Prof. Raphael Sznitman
Angelika Kalt
Prof. Angelika Kalt
Oksana Riba Grognuz
Dr. Oksana Riba Grognuz
Joël Mesot
Prof. Joël Mesot
Katrin Crameri
Dr. Katrin Crameri
Martin Vetterli
Prof. Martin Vetterli
Giusi Moffa
Prof. Giusi Moffa
Tom Beucler
Prof. Tom Beucler
Ryan Cotterell
Prof. Ryan Cotterell
Thomas Schulthess
Prof. Thomas Schulthess
Nadia Magnenat Thalmann
Prof. Nadia Magnenat Thalmann
Mihaela van der Schaar
Prof. Mihaela van der Schaar
Guillaume Obozinski
Prof. Guillaume Obozinski
Gustau Camps
Prof. Gustau Camps
Marco Zaffalon
Prof. Marco Zaffalon
Andrea Cavallaro
Prof. Andrea Cavallaro
Athina Tzovara
Prof. Athina Tzovara
David Ginsbourger
Prof. David Ginsbourger
Fernando Perez-Cruz
Prof. Fernando Perez-Cruz
Aude Billard
Prof. Aude Billard
Apr. 11
Thursday
Day 1
Time
(Europe/Zurich)
Session
Speaker
8:00 am
9:00 am

Welcome coffee and registration

Speaker:
9:00 am
9:15 am

Introduction

Speaker:
9:15 am
10:05 am

Keynote talk - Time: The next frontier in Machine Learning

Speaker:
10:05 am
10:40 am

Safeguarding privacy in a data-intensive society

Speaker:
10:40 am
11:05 am

Coffee break

Speaker:
11:05 am
11:40 am

A research infrastructure for science with extreme-scale data and computing needs

Speaker:
11:40 am
12:15 pm

Social Robots: State of the art in research and what is still missing?

Speaker:
12:15 pm
2:00 pm

Standing lunch

Speaker:
1:00 pm
2:15 pm

Poster session I

Speaker:
2:15 pm
2:50 pm

Robotics: when do we need AI and when not

Speaker:
2:50 pm
3:25 pm

A Formal Perspective on Language Modeling

Speaker:
3:25 pm
4:00 pm

Using prior knowledge to augment data-driven predictions in biomedicine

Speaker:
4:00 pm
6:00 pm

Apéro, networking & poster session II

Speaker:
Apr. 12
Friday
Day 2
Time
(Europe/Zurich)
Session
Speaker
9:00 am
9:50 am

Keynote talk - Hybrid and causal machine learning in the Earth sciences

Speaker:
9:50 am
10:25 am

Causal data science in psychiatric epidemiology

Speaker:
10:25 am
10:50 am

Coffee break

Speaker:
10:50 am
11:25 am

Atmospheric physics-guided machine learning for climate modeling and weather forecasting

Speaker:
11:25 am
12:00 pm

Decoding the brain with machine learning

Speaker:
12:00 pm
2:00 pm

Standing lunch

Speaker:
12:45 pm
2:00 pm

Poster session III

Speaker:
2:20 pm
2:55 pm

Counterfactual inference made easy

Speaker:
2:55 pm
3:10 pm

Empowering data-driven science through ORD: the role of the Strategy Council

Speaker:
3:10 pm
3:40 pm

Infrastructure development for FAIR health data and its efficient use for data-driven research

Speaker:
3:40 pm
3:45 pm

Announcements

Speaker:
3:45 pm
3:55 pm

Short pause

Speaker:
3:55 pm
4:45 pm

Panel discussion: Challenges and strategies for a sustainable collaborative data science ecosystem in Switzerland

Speaker:
4:45 pm
5:00 pm

Closing

Speaker:

Join us on April 11th & 12th 2024

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