Damian Machlanski
Research Associate in Causal AI at The University of Edinburgh (https://www.chai.ac.uk/). Causal AI for healthcare/medicine. CS PhD at the University of Essex. Former Software Developer.
@barrymcd.bsky.social
Startups. Ecosystem building. Community. Outward facing Scot 🏴 Launching the 100 Coffees Project ☕️😎
@futurescot.bsky.social
Scottish public technology and innovation news. Send news and tips to news@futurescot.com
@scadr-data.bsky.social
The Scottish Centre for Administrative Data Research (SCADR) accredited researchers conduct essential administrative data research, to better inform policy and public services, resulting in changes that would benefit society. We are part of ADR Scotland.
@serena-pattaro.bsky.social
Research Fellow @University of Glasgow, Co-I & Leadership Group member @the Scottish Centre for Admin Data Research (SCADR), part of ADR UK. Formerly @Nuffield College, Oxford University. Social & health inequalities, labour market & welfare benefits.
@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/
@mcknaus.bsky.social
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
@edinnovations.bsky.social
We are @edinburgh-uni.bsky.social 's commercialisation service. We benefit society and the economy by helping researchers, students and industry drive innovation. Discover more ➡️ https://linktr.ee/edinburghinnovations_
@stsaftaris.bsky.social
Professor in ML & CV at University of Edinburgh, https://vios.science Director of CHAI https://chai.ac.uk Canon Medical/RAEng Chair in Healthcare AI. Fellow ELLIS (Views my own)
@chaihubuk.bsky.social
The Causality in Healthcare AI Hub (CHAI). Where next-gen AI is developed addressing societal needs on real data.
@skrub-data.bsky.social
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning. Our long-term goal is to directly connect database tables to machine learning estimators. https://skrub-data.org https://discord.gg/ABaPnm7fDC
@anooprkulkarni.bsky.social
PhD in computer vision. Interests in Causal inference and AI in healthcare.
@yfelekis.bsky.social
PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io
@osmanmian.bsky.social
www.sites.google.com/view/mian/ | Post Doc @ Institute for Artificial Intelligence in Medicine at Uniklinikum Essen | Previously Ph.D. Student. Causal Inference and Discovery @CISPA Helmholtz Center for Information Security
@pgov.bsky.social
ML & Data Engineer based in Helsinki. Expect Machine learning, AI and Big Data related posts. Also curious about astro and general maker related topics.
@milkos.bsky.social
I try to discover how we discover, to help others discover! Master^3(Philosophy, Cognitive Science, Management & Leadership) PhD candidate researching scientific practices with causal discovery algorithms I love dancing:)
@nesyconf.org
19th International conference on Neurosymbolic Learning and Reasoning UC Santa Cruz, Santa Cruz, California 8 to 10 September 2025 https://2025.nesyconf.org
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@complemental.bsky.social
Computer science PhD — causal discovery for Earth science. Also interested in trustworthy ML. Born and raised in New Mexico. 🎶Trying to make a dollar out of what makes cents. [Machine] Learn to Save Earth 🌎🌏🌍
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@shefkikolozali.bsky.social
Lecturer in Embedded and Intelligent Systems at the University of Essex
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@jakobrunge.bsky.social
Professor of AI in the Sciences at University of Potsdam // causalinferencelab.com
@oisinmacaodha.bsky.social
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh. https://homepages.inf.ed.ac.uk/omacaod
@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
@yongshuo.bsky.social
PhD student @ University of Edinburgh | https://ys-zong.github.io/
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI. henrygouk.com
@mehmetaygun.bsky.social
Computer Vision/Machine Learning PhD student at The University of Edinburgh - mehmetaygun.github.io
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@yuzhaouoe.bsky.social
https://yuzhaouoe.github.io/ | PhD Student @ University of Edinburgh | Opening the Black Box for Efficient Training/Inference
@andreasgrv.bsky.social
Postdoc in ML/NLP at the University of Edinburgh. Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs. https://grv.unargmaxable.ai/
@katarzynaszymaniak.bsky.social
Ph.D. Artificial Intelligence (CDT) @ Edinburgh University | prev Research Scientist Intern @ Meta Reality Labs | ML+Signal Processing+Neural Interfaces
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
@amirvaxman-dgp.bsky.social
Geometry processor, discrete differentiator of geometry, mesher, directional fielder, finite elementor, and reconstructor. Reader (Associate professor) @ School of Informatics @ University of Edinburgh
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@edoardo-ponti.bsky.social
Assistant professor in Natural Language Processing at the University of Edinburgh and visiting professor at NVIDIA | A Kleene star shines on the hour of our meeting.
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@agostinacal.bsky.social
PhD student in NLP at the University of Edinburgh, working on online abuse detection 👩🏻💻 | ex Intern @MetaAI @Snap | Intersectional feminist 🌻 | (she/her)