We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social.
📍 @ml4science.bsky.social, Tübingen, Germany
Machine Learning in Science
Come and work with us!
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
Machine Learning in Science
Friday, 13:15 (Poster 2-116): Maren Eberle presents “Objective functions and task complexity in connectome-constrained Spiking Neural Networks” (work in the NYU Neuroinformatics lab)
The PhD graduation streak continues with Dr. Janne Lappalainen (@lappalainenjk.bsky.social) and Dr. Auguste Schulz (@auschulz.bsky.social) successfully defending in January and February. Congratulations!
@mackelab.bsky.social is at @cosynemeeting.bsky.social #cosyne2026 in Lisbon with two posters presented by PhD students from the lab.
Thread below on the projects 👇
Guy Moss (@gmoss13.bsky.social) developed and applied simulation-based inference methods to solve inference problems in glaciology, in collaboration with @geophys-tuebingen.bsky.social. E.g., openreview.net/forum?id=yB5... 3/3
Janne developed deep mechanistic networks to study when and how detailed measurements of brain wiring (connectomes) can enable accurate, neuron-level predictions of neural dynamics across the brain (www.nature.com/articles/s41...).
Auguste developed ML methods for linking neural activity and behavior, ranging from classic discriminative models to deep generative models such as VAEs and DDPMs e.g. doi.org/10.52202/079... or doi.org/10.1016/j.ce....
Julius Vetter (@vetterj.bsky.social) worked on deep generative modeling and simulation-based Bayesian inference, with applications to (physiological) time series data. E.g., openreview.net/forum?id=kN0... 2/3
Friday, 13:15 (Poster 2-040): @lulmer.bsky.social presents “Neural activity constraints improve task-optimized connectome-constrained models” (joint work with @srinituraga.bsky.social).
Happy 2026 everyone! Two freshly minted PhDs 🧑🎓emerged from our lab at the end of last year.
We congratulate Dr Julius Vetter (@vetterj.bsky.social) and Dr Guy Moss (@gmoss13.bsky.social)! Here seen celebrating with the lab 🎳. 1/3
