Rickard Karlsson
PhD student working on causal inference and ML @ TU Delft
rickardkarlsson.com
@matyasch.bsky.social
PhD Candidate in causality-inspired ML/RL at the University of Amsterdam
@causalclub.di.unipi.it
Causality Club proudly hosted at the University of Pisa and relying on strong assumptions since always. https://causalclub.di.unipi.it/
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
@johnmartinsson.org
I study machine listening methods for bioacoustics and automated sensing of natural environments. And I enjoy natural environments. https://johnmartinsson.org/ Core member of Climate AI Nordics | ML researcher at RISE
@aleksispi.bsky.social
Co-founder of Climate AI Nordics | Senior ML researcher at RISE | AI for the environment | PhD in computer vision | Spare time collapsologist
@wandedob.bsky.social
Associate professor (biträdande professor) in neuroimaging. Research in data analysis, image processing, statistics, deep learning, federated learning, synthetic images. Tweets in Swedish and English. Libertarian.
@lovhag.bsky.social
NLP PhD student at Chalmers University of Technology, Sweden. Working on retrieval augmented language models and interpretability.
@moajohansson.bsky.social
Associate Professor in Data Science and AI at Chalmers University of Technology. Neuro-symbolic AI, AI for maths, a bit of NLP and stir.
@toppkvark.bsky.social
Used to be a physicist, now doing AI stuff at RISE. I have knowledge and opinions. And sometimes just opinions.
@payberah.bsky.social
Associate Professor of Computer Science at KTH https://payberah.github.io Co-liberative Computing https://co-liberative-computing.github.io/
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@tommylofstedt.bsky.social
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
@fregu856.bsky.social
Postdoc at Karolinska Institutet in Stockholm. Machine learning and computer vision for computational pathology. https://www.fregu856.com/
@miguelvasco.bsky.social
Postdoc at @kthuniversity.bsky.social. Past: @gaipslab.bsky.social; Sony AI. Interested in all things RL and Multimodal. miguelvasco.com
@frejohk.bsky.social
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@arthurgretton.bsky.social
@sorawitj.bsky.social
PhD student at ETH Zurich, Seminar for Statistics Research interests: Causality and Distributional Shifts https://sorawitj.github.io/
@mogren.ml
AI for climate change and biodiversity. PhD. Co-founder @climateainordics.com -- Head of deep learning research at RISE in Sweden. Love trail running and snowboarding. See feed on AI for climate change. -- https://climateainordics.com , https://dl-group.se
@mrohbeck.bsky.social
PhD Student in Causality & ML - combining 💻 & 🧬 @StegleLab | Runner | Big & Little Brother
@kirtan-p.bsky.social
PhD candidate trying to figure out how to minimize harm and maximize the benefits of algorithms. @_kirtan_
@dziadzio.bsky.social
ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale. sebastiandziadzio.com
@alxndrmlk.bsky.social
"The Causal Guy" http://causalpython.io Author || Advisor || Educator Host at http://CausalBanditsPodcast.com Causal ML Tutor @ Uni of Oxford CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@stephenpfohl.bsky.social
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
@vanamsterdam.bsky.social
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
@oisinryan.bsky.social
Assistant Professor, Data Science and Biostatistics, UMC Utrecht | Causal Inference | Time Series | Computational Modeling
@arminkekic.bsky.social
PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg arminkekic.com
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@harshparikh.bsky.social
(Incoming) Assistant Professor, Yale University Causal Inference and Machine Learning Postdoctoral Fellow -- Johns Hopkins University
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@jvgemert.bsky.social
Head of the Computer Vision lab; TU Delft. - Fundamental empirical Deep Learning research - Visual inductive priors for data efficiency Web: https://jvgemert.github.io/
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social