Scientist (PhD), writer, risk literacy and citizen science tool builder. Nerd-of-all-trades (research methodologist). <3 FOIA, babies, clocking bias and error. Seeker of truth, especially wild.

Scientist and software developer. Creator of tidyplots.org. Website jbengler.de.

research fellow @clscohorts.bsky.social epidemiology, causal inference, methods

Expressive probabilistic programming language for writing statistical models. Fast Bayesian inference. Interfaces for Python, Julia, R, and the Unix shell. A rich ecosystem of tools for validation and visualization. Home mc-stan.org

Lecturer in environmental management at the University of Newcastle, New South Wales, Australia. Conservation, restoration, ecology, policy, decision science.

PhD | Quantitative Ecologist at a nonprofit | Applied conservation science | Birds esp Raptors and Passerines | Bayesian stats | Population Ecology | Forest Management | Dadding

sampling reality

Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA

Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. web.mit.edu/phillipi/

Musician, math lover, cook, dancer, 🏳️‍🌈, and an ass prof of Computer Science at New York University

Blog: sander.ai 🐦: x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).

Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.

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)

Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.

MIT PhD Student - ML for biomolecules - hannes-stark.com

Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell avt.im · scholar.google.com/citations?user=EGKY…

Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org

🧙🏻‍♀️ scientist at Meta NYC | http://bamos.github.io

Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦

Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. There are four lights. cs.cmu.edu/~kmcrane/

Associate Professor at UMD CS. YouTube: youtube.com/@jbhuang0604 Interested in how computers can learn and see.

ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. remi.flamary.com

ML + Cells + Proteins. PI @ AITHYRA https://alextong.net

Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org

Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch

Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.

Associate prof, MIT EECS/CSAIL 💻🔬🦥🧀🏋️‍♀️🎼🐈🎻🏳️‍🌈 he/him/his

Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP nlp.stanford.edu/~manning/

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, 🐎 🎶

CNRS researcher at ENS

messing up with gaussians