| 3rd SIMPLAIX Workshop on Machine Learning for Multiscale Molecular Modeling
The Third SIMPLAIX Workshop on “Machine Learning for Multiscale Molecular Modeling” is jointly organized by SIMPLAIX and the RTG 2450.
The first two SIMPLAIX workshops took place in May 2023 and May 2024 (https://simplaix-workshop2023.h-its.org/ and https://simplaix-workshop2024.h-its.org/). Similarly, the aim of this third workshop is to bring together scientists working in this vibrant field to share their research and discuss current challenges in an informal atmosphere.
Confirmed speakers:
• Matteo Dal Peraro, École Polytechnique Fédérale de Lausanne, Switzerland
• Arne Elofsson, Stockholm University, Sweden
• Shirin Faraji, University of Duesseldorf, Germany
• Stefan Grimme, University of Bonn, Germany
• Johannes Kaestner, University of Stuttgart, Germany
• Sandra Luber. University of Zurich, Switzerland
• Antonia Mey, University of Edinburgh, UK
• Carolin Mueller, University of Erlangen, Germany
• Modesto Orozco, Institute for Research in Biomedicine (IRB), Barcelona, Spain
• Elsa Sanchez Garcia, TU Dortmund University
• Lukas Stelzl, Institute of Molecular Biology, Mainz, Germany
Registration for this event is now https://simplaix-workshop2025.h-its.org/registration/.
| SIMPAIX and RTG2450
Rebecca Wade (HITS), Marcus Elstner (KIT), Tristan Bereau (Heidelberg University), Pascal Friederich (KIT), David Hoffmann (KIT), Rostislav Fedorov (HITS), Daniel Sucerquia (HITS), Jonathan Teuffel (HITS).
| Studio Villa Bosch Heidelberg, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg | |
| AI and Ethics, talks series
Künstliche Intelligenz in der Medizin: offene ethische Fragen einer Revolution
Prof. Dr. Lena Maier-Hein und PD. Dr. Markus Herrmann | Faculty for Mathematics and Computer Science | lecture hall of Mathematikon, INF 205 | |
| AI and Ethics, talks series
Artificial Intelligence and warfare: Navigating the ethical frontlines
Prof. Emeritus Raja Chatila
| Faculty for Mathematics and Computer Science | lecture hall of Mathematikon, INF 205 | |
| 2nd Sorbonne-Heidelberg Workshop on AI in medicine: Machine Learning for multi-modal data
Machine Learning is transforming science, especially the way we do research in medicine. It can analyze non-linear dependencies of structured clinical data, and it is starting to support in the huge amount of existing text and other unstructured information to extract useful information using recent techniques based on large language models. There is also an increasing amount of specific omics data for each patient, which makes it hard to manually inspect all the details. This is where multimodal data analysis comes in, which is the focus of this year's AI in Medicine workshop. Researchers from Sorbonne and Heidelberg will give keynote speeches to provide insight into their research field, which will fuel discussions. | This workshop is funded by Université franco-allemande/Deutsch-Französische Hochschule and co-funded through the 4EU+ 1CORE Project. It is organized under Flagship 3 of the 4EU+ European University Alliance. | Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg | |
| AI and Ethics, talks series
Gefahr oder Chance? Der Einfluss von Künstlicher Intelligenz auf die Demokratie
Prof. Dr. Thorsten Thiel | Faculty for Mathematics and Computer Science | lecture hall of Mathematikon, INF 205 | |
| IWR School on Machine Learning for Fundamental Physics
Machine Learning is here to stay and is shaping the future of fundamental physics research. From optimal inference, over theory-inspired network architectures, to anomaly detection, representation learning and foundation models, a new generation of scientists is driving these exciting developments. This school aims to further strengthen technical expertise and foster new connections.
The 2025 IWR School on Machine Learning for Fundamental Physics is aimed at advanced PhD students specializing in scientific machine learning. We particularly encourage registrations from researchers with experience in scientific machine learning, as demonstrated by papers or preprints related to the topic of the school. The school takes place at the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University September 15th-19th 2025. | Organizers:
Scientific: Tilman Plehn, David Shih, Caroline Heneka
At IWR: Jan Keese, Anne Leonhardt, Michael Winckler | IWR, Mathematikon, Im Neuenheimer Feld 205, 69120 Heidelberg | |
