Tübingen Women in Machine Learning. We are a group of women at
University of Tübingen and MPI-IS trying to build a local community.
https://tuewiml.github.io/index.html
@ewrl18.bsky.social
This is the official account of EWRL18 - European Workshop on Reinforcement Learning Official website: https://euro-workshop-on-reinforcement-learning.github.io/ewrl18/
@s-esposito.bsky.social
phd student @ uni tübingen computer vision https://s-esposito.github.io/
@melisilaydabal.bsky.social
PhD student @Max Planck Institute for Intelligent Systems | working on optimization & game-theoretic frameworks for robust and efficient ML | organizer @twiml.bsky.social | https://melisilaydabal.github.io
@bernhard-jaeger.bsky.social
PhD student with Andreas Geiger and IMPRS-IS. Studying embodied intelligence via autonomous driving.
@sbischoff.bsky.social
PhD student @mackelab.bsky.social and claassenlab in Tübingen
@alexthewitty.bsky.social
Cognitive computational (neuro-)science PhD student at Uni Tübingen 🧠🤖 she/her
@thecharleywu.bsky.social
PI of the Human and Machine Cognition lab at the University of Tübingen, studying the gap between Human and Machine Learning | hmc-lab.com
@dziadzio.bsky.social
ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale. sebastiandziadzio.com
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@confusezius.bsky.social
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA 🔗 karroth.com
@vishaalurao.bsky.social
@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi vishaal27.github.io
@fededagos.bsky.social
PhD student @ Uni Tübingen | @bethgelab.bsky.social | Computational Neuroscience & ML
@mackelab.bsky.social
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
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@elifakata.bsky.social
PhD student in machine learning & cognitive science in Munich & Tübingen
@coallaoh.bsky.social
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@bayesiankitten.bsky.social
Postdoctoral Researcher @ Bethgelab, University of Tübingen Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning drimpossible.github.io
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@elinguyen.bsky.social
PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua | Currrently visiting Vector Institute elisanguyen.github.io
@askoepke.bsky.social
Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford), BAIR (Berkeley). Interested in multi-modal learning. 🔗 https://akoepke.github.io/
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@philipp.hertie.ai
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.org)
@michelapetriconi.bsky.social
PhD student at @unituebingen.bsky.social and IMPRS-IS in "Lifelong Reinforcement Learning" group. Organizer of @ewrl18.bsky.social and @twiml.bsky.social- Tübingen Women in Machine Learning
@michael-j-black.bsky.social
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley. Building 3D humans. https://ps.is.mpg.de/person/black https://meshcapade.com/ https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
@shyamgopal.bsky.social
PhD at Tübingen. Working on post-training diffusion and multimodal models. Previous research interns at Snapchat and Naver Labs. https://sgk98.github.io/
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@kerstinrau.bsky.social
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
@nathaeldacosta.bsky.social
IMPRS-IS PhD student @ Tübingen. Applied Mathematics & Probabilistic ML
@timwei.land
PhD student @ ELLIS, IMPRS-IS. Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen. https://timwei.land
@ahochlehnert.bsky.social
PhD student in ML at Tübingen AI Center & International Max-Planck Research School for Intelligent Systems
@bmucsanyi.bsky.social
ELLIS & IMPRS-IS PhD Student at the University of Tübingen. Excited about uncertainty quantification, weight spaces, and deep learning theory.
@milago.bsky.social
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
@joannasliwa.bsky.social
ELLIS & IMPRS-IS PhD student at University of Tübingen Working on Bayesian Deep Learning in Philipp Hennig's group Website: https://joannasliwa.github.io
@fsschneider.bsky.social
Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
@kashyap7x.bsky.social
kashyap7x.github.io Postdoc at NVIDIA. Previously at the University of Tübingen and CMU. Robot Learning, Autonomous Driving.
@nathanaelbosch.de
PhD student at the University of Tübingen and the Max Planck Institute for Intelligent Systems. Working on probabilistic numerics, differential equations, filtering and smoothing, and recently automl for time series forecasting. nathanaelbosch.github.io
@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@lhoefling.bsky.social
computational neuroscientist by training, philosopher at heart studying visual perception across scales, hierarchies, and systems postdoc @uni tübingen
@hildekuehne.bsky.social
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
@95pfischer.bsky.social
PhD student with Christian F. Baumgartner | IMPRS-IS scholar | University of Tübingen and University of Lucerne | Uncertainty quantification and machine learning in medical imaging |