Newsroom
We are delighted to announce the next event in our Machine Learning Galore! series, focusing on Scientific Machine Learning, which will take place on Thursday, January 16, from 4:30 to 6:00 pm at INF 205 Mathematikon (5th floor). The event will feature lab presentations by principal investigators, followed by brief presentations from junior scientists showcasing their latest work. Extended discussions will offer ample opportunity for in-depth exchanges. In order to participate, please register for free at the ML-AI portal.
Event Details:
- Lab Presentations:
- Fruzsina Molnár-Gábor (Faculty of Law of Heidelberg University, and BioQuant Center Heidelberg)
- Dominik Niopek (Institute for Pharmacy and Molecular Biotechnology Heidelberg)
- Björn Malte Schäfer (Center for Astronomy, Heidelberg University)
- Science Talks:
- Timo Weiß (Molnár-Gábor Lab): Responsible AI? Responsible People!
- Benedict Wolf (Niopek Lab): ML-Guided Engineering of Switchable Proteins
- Tobias Röspel (Schäfer Lab): Statistical Mechanics Meets Bayesian Inference and Machine Learning
About Scientific Machine Learning
Scientific Machine Learning is a collaborative initiative by the Interdisciplinary Center for Scientific Computing (IWR) and the STRUCTURES Cluster of Excellence. Its mission is to foster interaction and exchange within the local machine learning community, and to support its development by consolidating activities and resources that might otherwise remain scattered across individual institutions or disciplines. The initiative aligns closely with the objectives of STRUCTURES, which aims to advance fundamental research, and with IWR’s focus on applying machine learning to address long-standing challenges in the natural and life sciences, engineering, and the humanities.
Further information: