Danru Xu
PhD student in the INtelligent Data Engineering lab at the University of Amsterdam, working in multimodal #causal #representation learning.
https://danrux.github.io/
@dinglingyao.bsky.social
@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
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@axz.bsky.social
Professor of social computing at UW CSE, leading @socialfutureslab.bsky.social social.cs.washington.edu
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@mersault.bsky.social
Professor at BIFOLD & TU Berlin, research on data engineering for ML. Previously at UvA, NYU, Amazon, Twitter. Opinions are my own. https://deem.berlin
@madelonhulsebos.bsky.social
Faculty at CWI & ELLIS Amsterdam https://trl-lab.github.io. Previously at UC Berkeley and the University of Amsterdam. Research on neural models for tabular data; table representation learning 💫. https://www.madelonhulsebos.com
@arthurgretton.bsky.social
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@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
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@p-hunermund.com
Professor of Technology and Economic Policy | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
@maiorca.xyz
Apple MLR (Barcelona) intern | ELLIS Ph.D. student in representation learning @SapienzaRoma & @ISTAustria | Former NLP Engineer @babelscape flegyas.github.io
@phillip-lippe.bsky.social
Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini. https://phlippe.github.io/
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@natashabutt.bsky.social
PhD student at the University of Amsterdam Advised by Max Welling and Jan-Willem van de Meent
@rpatrik96.bsky.social
PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@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
@burakvarici.bsky.social
Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@matyasch.bsky.social
PhD Candidate in causality-inspired ML/RL at the University of Amsterdam
@rmassidda.it
Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
@icannistraci.bsky.social
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning. irene.cannistraci.dev
@stefan-grafberger.com
PhD Student at BIFOLD & TU Berlin, researching data management for ML. Previously worked with UvA, Microsoft GSL, Amazon Research, Oracle Labs, and others. https://stefan-grafberger.com
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@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/
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app