
Gunnar Rätsch
@gxr
I love large biomedical data.
@gxxxr.bsky.social
ID: 30198750
http://ratschlab.org 10-04-2009 11:14:17
1,1K Tweet
2,2K Followers
427 Following


Excited to present recent work on how to efficiently query preference feedback for offline RL: arxiv.org/abs/2406.18450 MHFAIA@ICML2024 yesterday, now see you at the FoRLaC workshop at 10:30! Joint work with Giorgia Ramponi Gunnar Rätsch Bernhard Schölkopf

Prof. Wang tells how everything startet for her - with #Pascal! A #language that conquered the world, developed here at ETH Zurich by #NiklausWirth.


Congrats David Baker, Demis Hassabis, and John Jumper 👏👏👏 We knew this was coming. The impact of Rosetta, AlphaFold, and other ML-powered efforts in protein structure prediction and protein design is already tremendous and promises to have an even bigger impact in the future.

📣We have a tenure-track faculty opening in Responsible AI at ETH CS Department: ethz.ch/en/the-eth-zur… ETH Zurich is a vibrant environment for AI research with the ETH AI Center etc. Please help spread the word!


📣Ph.D. Fellowship opportunities at the ETH Zurich Intelligent Systems Center for Learning Systems (CLS) joint doctoral program! Deadline November 5 2024 learning-systems.org/apply

We would like to once again thank Thomas J. Fuchs for his dedication and leadership as Dean of AI and Human Health, which led to innovative research initiatives and the development and implementation of cutting-edge tech. We wish him the best of luck in his new position.




Where RNA Science Meets AI, May 4–8, 2025, Ascona. Invited speakers: Oliver Stegle Fabian Theis Stirling Churchman Eva Maria Novoa BarbaraTreutlein Rahul Satija Dr Elena Rivas @[email protected] @RouskinLab Yoseph Barash gagneurlab, Rhiju Das, Karla Neugebauer, Jernej Ule Registration open,

🎉 Yesterday, Alizée Pace, our very first PhD Fellow of the ETH AI Center, graduated! She was supervised by ETH AI Center Faculty members Prof. Gunnar Rätsch Gunnar Rätsch and Prof. Bernhard Schölkopf. Congrats, Dr. Pace! Next, she will join Google DeepMind in Zurich as a Research Scientist.



Congratulations to Kalin Nonchev from ETH Zürich ETH CS Department, the winner of the Autoimmune Disease Machine Learning Challenge #1


🥳🔥Our study is out in Genome Biology! Conventional filtering out high-mtRNA cells depletes key malignant populations in cancer single-cell studies. Read it here 👉 genomebiology.biomedcentral.com/articles/10.11… Thanks to the dream team: Josephine Yates Agnieszka Kraft

RL for real-world applications = offline learning + reward learning. How do we make this work? Find out more at ICLR poster #377 at 10am today! Giorgia Ramponi and I will be presenting our latest work on offline preference-based RL (joint w/ Gunnar Rätsch, Bernhard Schölkopf).
