@adamghifarif.bsky.social
Mostly shitposts and cats | Doing research on uncertainty| Pursuing PhD and embracing my stupidity.
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@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)
@aryopg.bsky.social
AI Safety Fellow @Anthropic | PhD at University of Edinburgh | LLM Hallucinations | Clinical NLP | Opinions are my own. Personal page: https://aryopg.github.io
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA
@tomaszwozniak.bsky.social
a Bayesian econometrician developing methodology for empirical macroeconomic analyses and programming in 𝗥 and 𝗰𝗽𝗽. See my 𝗥 packages 𝗯𝘀𝘃𝗮𝗿𝘀 and 𝗯𝘀𝘃𝗮𝗿𝗦𝗜𝗚𝗡𝘀! https://bsvars.org/ @bsvars.org #bsvars #bsvarSIGNs #rstats #econsky
@math-rachel.bsky.social
AI researcher going back to school for immunology fast.ai co-founder, math PhD, data scientist Writing: https://rachel.fast.ai/
@jennwv.bsky.social
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@pydatalondon.bsky.social
https://london.pydata.org We run a monthly meetup and host the annual PyData London conference. PyData is an educational program of NumFOCUS, helping our community share ideas and learn from each other. https://www.meetup.com/PyData-London-Meetup/
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@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.
@nathpribady.bsky.social
@columbiauniversity.bsky.social ‘26 - Learning Analytics & Statistics
@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/
@aliakbars.id
Data scientist at Revolut. PhD student @statisticsucl.bsky.social. ML for healthcare. Post in Indonesian/English. Views are my own.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]