Startpaket von Linda Ulmer
Created by
@lulmer.bsky.social
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@kanakarajanphd.bsky.social
Associate Professor at Harvard & Kempner Institute. Applying computational frameworks & machine learning to decode multi-scale neural processes. Marathoner. Rescue dog mom. https://www.rajanlab.com/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@geffenlab.bsky.social
Brain scientist who studies how we hear and form memories of sounds 🧠 🧬🔬🧪; prof at Penn. Loves🧘♀️🚴♀️✈️🥐🧶📷⛷️🏔️. Mom to 👦👧👦🐈🐈. Lab: hosting.med.UPenn.edu/hearing
@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
@neuroprinciplist.bsky.social
searching for principles, goal-driven behavior, empirical approach, integration | doing comp neuroscience & psychiatry | PI @cmc-lab.bsky.social | previously @maxplanckcampus.bsky.social (Peter Dayan & Nikos Logothetis)
@maxschelski.bsky.social
Neuroscientist. Developing mathematical models of cell biology underlying synaptic plasticity. Coding Python. PhD done @ Bradke lab #NeuroDev #Microtubules PostDoc in Tchumatchenko group. #SynapticPlasticity #Dendrites https://github.com/maxschelski/
@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
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@gjorjulijana.bsky.social
Professor of Computational Neuroscience, Technical University of Munich, Germany mls.ls.tum.de/compneuro/
@janlause.bsky.social
data science postdoc in Tübingen 🧬🖥️🧠 scRNA data analysis, UMAP/tSNE & retina neuroscience | science journalism on AI & sustainability 🤖❤️🌍 | easily sidetracked by small plot details & cool birds 📈🔍🦜
@philipp.hertie.ai
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.org)
@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.
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@roxana-zeraati.bsky.social
In search of computational principles of natural adaptive behavior. Postdoc with Peter Dayan @mpicybernetics.bsky.social http://roxanazeraati.org/
@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
@lhoefling.bsky.social
computational neuroscientist by training, philosopher at heart studying visual perception across scales, hierarchies, and systems postdoc @uni tübingen
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@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
@trackingactions.bsky.social
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@francois-rozet.bsky.social
datamancer, generative models, bayesian inference, dynamical systems, open-source software, phd with @glouppe.bsky.social
@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
@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
@janboelts.bsky.social
Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML
@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
@aesagtekin.bsky.social
chronic reader of old papers. dynamical systems & computation & bio-plausible learning. curr: @flatiron ccn, msc: comp neuro @tubingen, bsc: EE.
@cmiehl.bsky.social
HFSP Postdoc Fellow at U Chicago in the Doiron lab | former PhD @MPI for Brain Research & TU Munich in the Gjorgjeva lab https://www.christophmiehl.com/
@fsschneider.bsky.social
Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@ppjgoncalves.bsky.social
Computational Neuroscience and Machine Learning. Group Leader at VIB-NERF (https://nerf.be/en#/) and Associate Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven). More details at goncalveslab.sites.vib.be
@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
@mlcolab.org
We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social Web: mlcolab.org Member profiles: @sethaxen.com @vstaros.bsky.social
@milago.bsky.social
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
@kerstinrau.bsky.social
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
@gmoss13.bsky.social
PhD student at @mackelab.bsky.social - machine learning & geoscience.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app
@lulmer.bsky.social
PhD student @mackelab.bsky.social - machine learning and computational neuroscience