DL@MBL 2024
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.
Organizers

- Jan Funke
- HHMI Janelia

- Anna Kreshuk
- EMBL Heidelberg

- Alexander Krull
- University of Birmingham

- Shalin Mehta
- CZ Biohub
Faculty

- Beth Cimini
- Broad Institute

- Florian Jug
- Human Technopole

- Virginie Uhlmann
- BioVisionCenter

- Martin Weigert
- Dresden University of Technology
Invited Speakers

- Vladimir Ghukasyan
- CZI

- Nodar Gogoberidze
- Cimini Lab, Broad Institute

- Kyle Harrington
- CZI

- Manuel Leonetti
- CZ Biohub

- Constantin Pape
- Georg-August University Göttingen

- Loïc Royer
- CZ Biohub
Teaching Assistants

- Diane Adjavon
- Funke Lab, HHMI Janelia

- Jordão Bragantini
- CZ Biohub

- Larissa Heinrich
- Saalfeld Lab, HHMI Janelia

- Ed Hirata
- CZ Biohub

- Ziwen Liu
- CZ Biohub

- Caroline Malin-Mayor
- Funke Lab, HHMI Janelia

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

- Will Patton
- Independent Wizard

- Anirban Ray
- Jug Lab, Human Technopole

- Anna Foix Romero
- Uhlmann Group, EMBL-EBI

- Benjamin Salmon
- Krull Lab, University of Birmingham

- Morgan Schwartz
- Van Valen Lab, Caltech

- Samuel Tonks
- Krull Lab, University of Birmingham

- Vijay Venu
- Harris Lab, UT Austin

- Igor Zubarev
- Jug Lab, Human Technopole