Symposium organised by the CHAIR theme AI for Scientific Data Analysis.
Overview
- Date:Starts 10 November 2025, 13:00Ends 10 November 2025, 17:00
- Seats available:63
- Location:
- Language:English
- Last sign up date:3 November 2025
This mini-symposium on AI in microscopy, organized on the occasion of Jesús Pineda’s PhD defense, brings together perspectives on the promises and limitations of AI while exploring emerging directions for the field.
Invited Speakers:
Anna Kreshuk, EMBL Heidelberg
Daniel Sage, EPFL
Juliette Griffié, SciLifeLab and Stockholm University
Schedule:
13:10 – 13:15 : Introduction and welcome
13:15 – 14:00 : Anna Kreshuk
14:00 – 14:45 : Daniel Sage
14:45 – 15:15 : Fika
15:15 – 16:00 : Juliette Griffié
16:00 – ~17 : Discussion and Networking
Presentations:
Anna Kreshuk: Making ML for microscopy more accessible
Juliette Griffié: Interpretable machine learning for microscopy images
Daniel Sage: Single-Molecule Diffusion – From Analytical to Learning Methods

AI for Scientific Data Analysis
This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.