Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad

Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content. Sign up to my newsletter: kareemcarr.substack.com

Research Scientist @GoogleDeepMind, genomics, rare disease

Machine learning and biology. Research Scientist at Google DeepMind. adamgayoso.github.io. Views are my own.

Digital data/machine learning/economics, focused on developing economies. Faculty at Columbia. dan.bjorkegren.com

Guardian Senior Economics Correspondent

FT columnist, writing about work, technology & economics.

The FT’s team of reporters, statisticians, illustrators, cartographers, designers, and developers work with colleagues across our newsrooms, using graphics and data to find, investigate and explain stories. https://www.ft.com/visual-and-data-journalism

Machine learning researcher, working on causal inference and healthcare applications

AI @ OpenAI, Tesla, Stanford

Principal Researcher @ Microsoft Research. AI, RL, cog neuro, philosophy. www.momen-nejad.org

Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/

Senior Research Scientist at Google DeepMind. Equitable AI, language, gender, society. She/her. 🌐 jasmijn.bastings.me

Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.

Guardian columnist and journalist. Commentator of the Year 2024. Author of Who Wants Normal? and Crippled. E: frances.ryan.freelance@guardian.co.uk

News from the editors of Quantitative Economics

Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730

Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/

causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social

Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences https://keyonvafa.com