11.11.2026
4:30 PM - 6:00 PM | Machine learning galore!
Lab presentations
Lena Maier-Hein
Claudia Strauch
Alexander Zipf
Rocket science
Leon Mayer (Maier-Hein Lab)
Building benchmarks for AI in medicine
Marta Gentiloni Silveri (Strauch Lab)
How Reliably Can Generative Models Reconstruct Data from Pure Noise?
Gefei Kong (Zipf Lab)
From bird's eyes to human eyes: mapping street-view greenness by DL model from satellite imagery and geo foundation embeddings
To help plan the catering, please register for free by November 9th! | Scientific Machine Learning
Organizer: Barbara Quintel | INF 205, Mathematikon, 5th floor
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17.11.2026
11:15 AM - 12:15 PM | ELLIS AI in Life Seminar Series Heidelberg:
Foundation Models for the Data we Actually Have in Medicine: TabPFN and Beyond
Frank Hutter
Most data in cancer research is tabular: patient records, biomarker panels, clinical trial results, and features derived from omics. For decades, gradient-boosted trees have dominated this domain, and deep learning has struggled, especially in the small-sample regime typical of clinical studies. TabPFN is a tabular foundation model that changes this picture. Pre-trained on millions of synthetic datasets, it performs in-context learning: given a new dataset, it yields well-calibrated predictions in seconds, without hyperparameter tuning, and natively handles missing values, outliers, and mixed data types. In this talk, I will explain the ideas behind TabPFN, our Nature 2025 paper, and the fast-paced developments since then. TabPFN has already been used in hundreds of medical prediction use cases, and we are keen to work with partners to identify & solve the hardest challenges of tabular predictions whose solutions would bring the greatest benefit to society.
| Oliver Stegle
Moritz Gerstung | Kommunikationszentrum (KoZ) des DKFZ
and via Stream
Zoom-Link:
https://dkfz-de.zoom.us/meeting/register/mvbrjkzxSfyE8wurevnCAg#/registration | |
| HITS Symposium
“Future of Sustainable Computing”
Due to the advent of AI and the steadily growing number of data centers, computation accounts for a continuously increasing fraction of the global electricity, water, and natural resource consumption.
Join us for the “Future of Sustainable Computing Symposium” at the Heidelberg Institute for Theoretical Studies (HITS) to explore and discuss the future of sustainable computing research ranging from low-level hardware measures over sustainable AI to policy related approaches. The symposium features a panel of early career as well as established researchers in the broader area of sustainable computing from around the world
Registration for the event is now open. | | Studio Villa Bosch Heidelberg,
Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg | |
09.12.2026
11:00 AM - 12:00 PM | ELLIS AI in Life Seminar Series Heidelberg:
Nationwide disease prediction from electronic health records and genetics
Andrea Ganna
The talk will present recent advances in disease prediction through the integration of nationwide health data and genomic information. It will describe a foundation model trained on Finnish nationwide health data, covering more than 7 million individuals and 3 billion health events, to model and predict health trajectories. The talk will examine the current strengths and limitations of this approach, including challenges related to fairness and generalizability. It will then show how polygenic scores complement electronic-health-record-based prediction, with the two approaches providing distinct strengths across disease domains. Finally, the talk will discuss how integrating genomic and EHR data can improve trial emulation, strengthen causal inference, and improve biomarker discovery. | | Kommunikationszentrum (KoZ) des DKFZ and via Stream Zoom-Link: https://dkfz-de.zoom.us/meeting/register/e6USSBqVQxO4ZH1ZmZe1WA#/registration | |
