Causal Club
Causality Club proudly hosted at the University of Pisa and relying on strong assumptions since always.
https://causalclub.di.unipi.it/
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Created by Causal Club (1)
Causal Clubbers
Here we have the amazing setlist of presenters of our Causal Club. For more info and next appointments, follow our profile back. Also, if you want to advertise your ongoing work, please get in touch with us!
@amoneta.bsky.social
Professor at Sant'Anna School, Pisa (Italy) Website: https://sites.google.com/view/alessiomoneta/
@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
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@weakly-informative.bsky.social
Machine learning, deep learning, and Bayesian methods. Assistant prof @FGVBrazil. Previously @AaltoUniversity. (Bad) Jokes are my own.
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@danruxu.bsky.social
PhD student in the INtelligent Data Engineering lab at the University of Amsterdam, working in multimodal #causal #representation learning. https://danrux.github.io/
@giovannidetoni.bsky.social
(ELLIS) PhD Candidate at FBK & University of Trento ~ I like making #AI #safe and #controllable for everyone ~ Currently advancing #trustworthy #AI at the European Commission ~ Previously at Max Planck SWS & Google X
@francescomontagna.bsky.social
PhD student on Causal inference at the University of Genoa | Formerly @AWS
@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
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@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
@maxplanckcampus.bsky.social
This is the Tübingen research campus of the Max Planck Society in Germany. We do basic research in fields of biology, neuroscience, and AI. For Institute specific updates follow: @mpicybernetics.bsky.social @mpi-bio-fml.bsky.social
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@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
@vlontzos.bsky.social
Causal ML Research @ Spotify - Causality in ML and Medical Imaging @ Imperial College London Formerly: Leading AI @ Zeit Medical
@msaveski.bsky.social
Assistant Professor @ UW iSchool. Interested in computational social science, social networks & causal inference. http://martinsaveski.com
@willorchard.bsky.social
PhD student | Causality, ML, comp bio @Cambridge_Uni | ex-Applied Science Intern @AmazonScience | ex-Visiting researcher @HelmholtzMunich | opinions my own
@jakobrunge.bsky.social
Professor of AI in the Sciences at University of Potsdam // causalinferencelab.com
@stratiss.bsky.social
🚨On the academic job market🚨 PhD student @ Max Planck Institute for Software Systems. Interested in machine learning, game theory and causality. Previously at Meta, Stanford, NTUA. 💻 https://stsirtsis.github.io/
@marcdotson.com
Causal Inference | Bayesian Statistics | Machine Learning // Husband, father, Latter-day Saint, assistant professor of data analytics, nerd. Blog: occasionaldivergences.com | GitHub: github.com/marcdotson
@ehudk.bsky.social
Causal Inference 🔴→🟠←🟡. Machine Learning 🤖🎓. Data Communication 📈. Healthcare ⚕️. Creator of 𝙲𝚊𝚞𝚜𝚊𝚕𝚕𝚒𝚋: https://github.com/IBM/causallib Website: https://ehud.co
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@awmsauter.bsky.social
All things causality, RL and generative models. PhD student in Amsterdam and Leiden.
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@rickardkarlsson.bsky.social
PhD student working on causal inference and ML @ TU Delft rickardkarlsson.com
@dennisfrauen.bsky.social
(Ellis) PhD student at LMU Munich. Interested in causal machine learning and reinforcement learning
@harshparikh.bsky.social
(Incoming) Assistant Professor, Yale University Causal Inference and Machine Learning Postdoctoral Fellow -- Johns Hopkins University
@valik-melnychuk.bsky.social
PhD Candidate at Institute of AI in Management, LMU Munich causal machine learning, causal inference
@kaicoop.bsky.social
PhD candidate @Wharton OID. Interests: causal inference, partial identification, fairness, discrimination
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@elenapopaphi.bsky.social
Philosopher working on causality and causal reasoning, science and values, philosophy of medicine. Ramón y Cajal fellow at the Department of Philosophy, Logic, and Philosophy of Science, University of Seville. https://philpeople.org/profiles/elena-popa
@guilhermeduarte.bsky.social
PhD candidate (OID - @Wharton - @Penn). interests: causality, politics, ML duarteguilherme.github.io
@a-marx.bsky.social
Prof. at TU Dortmund and RC Trust | Chair for Causality | Research on Causality, Machine Learning and Information Theory | Prev. ETH Zürich, ETH AI Center, CISPA and MPI for Informatics | Website: https://www.a-marx.com
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@philosotim.bsky.social
researching causality and interactive AI at AIML Lab, TU Darmstadt | also interested in philosophy, logic, physics and vegan baking