AI@MBL 2025
Artificial Intelligence for Microscopy Image Analysis
The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.
To learn more, visit the MBL course website.
Organizers

- Jan Funke
- HHMI Janelia

- Anna Kreshuk
- EMBL Heidelberg

- Alexander Krull
- University of Birmingham

- Shalin Mehta
- CZ Biohub
Course Manager

- Dominique Harajchi
- HHMI Janelia
Faculty

- Florian Jug
- Human Technopole

- Constantin Pape
- Universität Göttingen

- Virginie Uhlmann
- BioVisionCenter

- Martin Weigert
- Dresden University of Technology
Lecturers

- Evangelia Christodoulou
- DKFZ Heidelberg

- Vladimir Ghukasyan
- CZI

- Dari Kimanius
- CZI

- Wyatt Korff
- HHMI Janelia

- Talley Lambert
- Harvard Medical School

- Stephan Saalfeld
- HHMI Janelia
Teaching Assistants

- Diane Adjavon
- Funke Lab, HHMI Janelia

- Frederico Carrara
- Human Technopole

- Larissa Heinrich
- Saalfeld Lab, HHMI Janelia

- Alex Hillsley
- CZ Biohub

- Ed Hirata
- CZ Biohub

- Caroline Malin-Mayor
- Funke Lab, HHMI Janelia

- Albert Dominguez Mantes
- Weigert and La Manno Lab, EPFL

- Anna Foix Romero
- Uhlmann Group, EMBL-EBI

- Benjamin Salmon
- Krull Lab, University of Birmingham

- Ryan Savill
- Veenvliet Group, MPI of Molecular Cell Biology and Genetics

- Morgan Schwartz
- Funke Lab, HHMI Janelia

- Vijay Venu
- Harris Lab, UT Austin

- Xuefei (Julie) Wang
- Van Valen Lab, Caltech