Statistical and AI methods for multi-modal multi-scale modeling of biological systems
This workshop will bring together an international and interdisciplinary community to address key challenges in integrating and interpreting multi-modal biological data across scales. Building on a successful series of previous meetings, it will explore how artificial intelligence can advance biological research, bridging classical statistical modelling with modern AI approaches.
Key topics include multi-modal data integration, deep learning for high-dimensional data analysis, multi-scale modelling, and the use of AI for biological knowledge discovery and experimental design.
The event aims to foster collaboration between method developers and discovery-driven researchers and actively encourages participation from early-career scientists, with opportunities for poster presentations and contributed talks.
Maria Brbić (EPFL, SIB Group Leader) is among the keynote speakers.
The SIB Swiss Institute of Bioinformatics is proud to support this event, which is organized by Niko Beerenwinkel and Valentina Boeva (ETH, SIB Group Leaders).
Registration:
Deadline for pre-registration: 28 February 2026, 23:59 CET
Notification and invitation to register: before 27 March 2026
Deadline for registration: 15 May 2026, 23:59 CET
Workshop: 28.6. - 3.7. 2026 (Sunday evening till Friday noon)
Due to the limited number of places, a two-step process is used:
--> First, express your interest in participating through a non-binding and no-cost pre-registration. To do so, click on "Submit an abstract" in the sidebar on the left of this page. You will be asked to log in (if you have already used sciencesconf for another conference, or any other CNRS public service) or create an account. You can then follow the instructions to submit an abstract for either an oral presentation or a poster.
--> Following pre-registration, abstracts will be selected by the programme committee. Selected applications will be invited to register by end of March.