Eugene (Yoogeun) Song @eugeneyoogeunsong.bsky.social High-Energy Physics @ Imperial @imperialphysics.bsky.social |
Machine Learning | Quantum Computing | Quant Research | London-based (2023-Present) | Ex-Astrophysicist |
28 | 송유근 | 🇰🇷 living in 🇬🇧 | Making Europe home | INTJ E3 | he/him |
yoogeunsong.com
BIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.berlin Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Python/Data science/Machine Learning/Deep Learning/AI @shaharyarranjah1.bsky.social It's shaharyarranjah1 content creator and software engineer and artificial intelligence engineer Learn full stack web development machine learning deep learning computer vision llm data science data analyst etc connect with us
Taniya @tan-iya.bsky.social 
Thomas George @tfjgeorge.bsky.social Explainability of deep neural nets and causality https://tfjgeorge.github.io/
Fateme Hashemi Chaleshtori @fatemehc.bsky.social PhD student at Utah NLP, Mechanistic Interpretability, Trustworthy AI, Human-centered AI
@davidrundel.bsky.social @davidrundel.bsky.social 
Julian Rodemann @jurodemann.bsky.social http://www.julian-rodemann.de | PostDoc CISPA Helmholtz | prev. PhD in statistics @LMU_Muenchen | VRS @HarvardStats
Yasmin Moslem @ymoslem.bsky.social NLP Researcher at ADAPT Centre | PhD
Machine Translation, Speech, LLMs
Ali Rehan @alijoya.bsky.social Artificial Intelligence | Machine Learning | CFD
Novosibirsk State University, RU
BlackboxNLP @blackboxnlp.bsky.social The largest workshop on analysing and interpreting neural networks for NLP.
BlackboxNLP will be held at EMNLP 2026 in Budapest, Hungary
blackboxnlp.github.io
@boesmueller.bsky.social @boesmueller.bsky.social 
Kerstin Bach @kerstinbach.bsky.social Professor @ NTNU, Research Director @ NorwAI
Research on AI, CBR, XAI, intelligence systems, AI+Helath
Views are my own
Arik Reuter @arikreuter.bsky.social University of Cambridge and
Max Planck Institute for Intelligent Systems
I'm interested in amortized inference/PFNs/in-context learning for challenging probabilistic and causal problems.
https://arikreuter.github.io/
Michael A. Hedderich @mhedderich.bsky.social Research group leader at LMU Munich and MCML on ML, NLP & HCI. Also experimenting with lemonade that glows in the dark 🥤 (he/him)
International Semantic Web Research Summer School @isws-summerschool.bsky.social ISWS is a full immersion, super intensive one-week experience including lectures and keynotes from outstanding speakers, a “learning by doing” teamwork program on open research problems, under the guidance of the best scientists in the field...
Explainable AI @xai-research.bsky.social Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Blue Sky and Slack maintained by Nick Kroeger- K @kenomersmann.bsky.social @kenomersmann.bsky.social Psychology and statistics student @LMU
Katharina Prasse @katharinaprasse.bsky.social PhD in Computer Vision
Supervised and Inspired by Prof. Dr.-Ing Margret Keuper
Member of the Data & Web Science Group @ University of Mannheim.
Xiaoyan Bai @elenal3ai.bsky.social PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting
Lesia Semenova 🇺🇦 @lesiasemenova.bsky.social Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
Jan Dubiński @jandubinski.bsky.social PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
Hubert Baniecki @hbaniecki.com PhD student, University of Warsaw
hbaniecki.com
Mina Rezaei @minarezaei.bsky.social Machine Learning Researcher, @LMU Munich, MCML
Interested in probabilistic deep learning, generative models, and trustworthy ML.
minare.github.io
Ludwig Bothmann @ludwig-bothmann.bsky.social PostDoc @ LMU Munich
Group Leader CausalFairML
Munich Center for Machine Learning (MCML)
Andreas Bender @adibender.bsky.social Senior Lecturer @ LMU Munich
Lead Machine Learning Consulting Unit @ Munich Center for Machine Learning
Matthias Aßenmacher @assenmacher.bsky.social Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @munichcenterml.bsky.social | @berd-nfdi.bsky.social
Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social https://www.slds.stat.uni-muenchen.de- I Julian Lange @iamjulianlange.bsky.social PhD student in Statistics @LMU Munich & MCML, interested in statistics, machine learning, reproducibility, and meta-science
Oskar van der Wal @ovdw.bsky.social Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience
Thoughts & opinions are my own and do not necessarily represent my employer.
Lucas Resck @lucasresck.bsky.social PhD student in NLP at Cambridge | ELLIS PhD student
https://lucasresck.github.io/
Zining Zhu @zhuzining.bsky.social Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io
@benmacintosh.bsky.social @benmacintosh.bsky.social 
Sukrut Rao @sukrutrao.bsky.social PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models
Web: sukrutrao.github.io
Ruizhe Li @ruizheli.bsky.social Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
Dilyara Bareeva @dilya.bsky.social PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io
Amir Rahnama @amirrahnama.bsky.social PhD Student at KTH Royal Institute of Technology.
Researching Explainability and Interpretability in Machine Learning
Martin Menten @martinmenten.bsky.social Emmy Noether Research Group Leader at the Technical University of Munich working on machine learning for medical imaging and ophthalmology.
https://martinmenten.github.io
Stefan Herzog @stefanherzog.bsky.social Senior Researcher @arc-mpib.bsky.social MaxPlanck @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, AI/collective intelligence, behavioral public policy, comput. social science, misinfo; stefanherzog.org scienceofboosting.org
Anne-Laure Boulesteix @boulesteixlaure.bsky.social Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
Miryam de Lhoneux @mdlhx.bsky.social NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
@jkobialka.bsky.social @jkobialka.bsky.social 
Simone Schaub-Meyer @simoneschaub.bsky.social Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH
Computer Vision & Deep Learning
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
Qianli Wang @ ACL 2025🇦🇹 @qiaw99.bsky.social Second-year PhD student at XplaiNLP group @TU Berlin: interpretability & explainability
Website: https://qiaw99.github.io
Max Lamparth, Ph.D. @mlamparth.bsky.social Research Fellow @ Stanford Intelligent Systems Laboratory and Hoover Institution at Stanford University | Focusing on interpretable, safe, and ethical AI/LLM decision-making. Ph.D. from TUM.
A. Sophia Koepke @askoepke.bsky.social Currently at BAIR (Berkeley). Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford). Interested in multi-modal learning.
🔗 https://akoepke.github.io/
Lorenz Linhardt @lorenzlinhardt.bsky.social PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
Stefan Haufe @sparsity.bsky.social Professor of Machine Learning at TUBerlin, group leader at PTB. Lab account: @qailabs.bsky.social.
@sparsity@mastodon.social
tu.berlin/uniml/about/head-of-group
Farnoush Rezaei-Jafari @farnoushrj.bsky.social ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
Oliver Eberle @eberleoliver.bsky.social Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Shivam Raval @sraval.bsky.social Physics, Visualization and AI PhD @ Harvard | Embedding visualization and LLM interpretability | Love pretty visuals, math, physics and pets | Currently into manifolds
Wanna meet and chat? Book a meeting here: https://zcal.co/shivam-raval
yawei.li @yaweili-sandylaker.bsky.social PhD candidate at LMU Munich | Munich Center for Machine Learning (MCML) | https://sandylaker.github.io |
Open to work.
Gabriele Sarti @gsarti.com Open-source interpretability to seize the means of prediction. Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social.
gsarti.com
Alessio Devoto @alessiodevoto.bsky.social PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
Hailey Joren @haileyjoren.bsky.social PhD Student @ UC San Diego
Researching reliable, interpretable, and human-aligned ML/AI
José Oramas @jaom7.bsky.social Associate Professor @UAntwerp, sqIRL/IDLab, imec.
#RepresentationLearning, #Model #Interpretability & #Explainability
A guy who plays with toy bricks, enjoys research and gaming.
Opinions are my own
idlab.uantwerpen.be/~joramasmogrovejo
Sven Nyholm @svennyholm.bsky.social Professor of the Ethics of Artificial Intelligence, LMU Munich.
Gunnar König @gunnark.bsky.social PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
Nils Feldhus @nfel.bsky.social Postdoctoral Researcher @ University of Groningen / GroNLP (@gronlp.bsky.social) interested in the interpretability and analysis of language models. Ex- BIFOLD, TU Berlin, DFKI. https://nfelnlp.github.io/
Martina G. Vilas @martinagvilas.bsky.social AI Evaluation & Interpretability @NVIDIA
Rickmer Schulte @rickmer.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)- M Malte Schierholz @malteschierholz.bsky.social
Eleonora Giunchiglia @e-giunchiglia.bsky.social Assistant Professor at Imperial College London | EEE Department and I-X.
Neuro-symbolic AI, Safe AI, Generative Models
Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
Katharina Beckh @kbeckh.bsky.social Data Scientist at Fraunhofer IAIS
PhD Student at University of Bonn
Lamarr Institute
XAI, NLP, Human-centered AI
Matthias Feurer @matthiasfeurer.bsky.social Assistant Professor "AutoML and Optimization" @ Lamarr institute and @tu-dortmund.bsky.social. Working on #AutoML, #HPO, #TabularData #OpenML #Benchmarking | https://matthiasfeurer.de | https://automl.cs.tu-dortmund.de
Philip Boustani @paboustani.bsky.social MCML PhD student @ LMU Munich
Working on causal & fair ML
Interested in social science and the book of why
He/him
Fiona K. Meinzer, née Ewald @fionaewald.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
• www.tailor-made-ai.com •