claudia shi

@aaronschein.bsky.social

Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮

@chrishwiggins.bsky.social

.edu: associate professor @columbia; .org: cofounder @hackNY; .com: chief data scientist @nytimes; books: http://amzn.to/3J1tFnr

@tamarabroderick.bsky.social

Associate Professor at MIT EECS.

@haldaume3.bsky.social

Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑‍🍳🧘⛷️🏕️. he/him.

@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

@kyunghyuncho.bsky.social

a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor. see more at https://kyunghyuncho.me/

@eliweinstein.bsky.social

Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, chemistry, biophysics Incoming assistant professor of chemistry at the Technical University of Denmark (DTU). https://eweinstein.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 🗽

@vveitch.bsky.social

machine learning and artificial intelligence | University of Chicago / Google

@harsh3vedi.bsky.social

🤖 Building AI agents & interactive environments: 🌍 AppWorld (https://appworld.dev) #NLProc PhD @stonybrooku. Past intern Allen AI & visitor CILVR at NYU. 🐦 https://x.com/harsh3vedi 🌐 https://harshtrivedi.me/

@nlpurr.bsky.social

SciComm of Academic NLP Papers | Research Scientist | Explainability, Prompting, Benchmarking, Metrics, Red-Teaming & Eval of LLMs https://nlpurr.github.io/

@datatherapist.bsky.social

#NLP / #NLProc , #dataScience, #AI / #ArtificialIntelligence, #linguistics (#syntax, #semantics, …), occasional #parenting, #gardening, & what not. PhD. Adjunct prof once in a full red moon. Industry / technical mentor. Not my opinion, never my employer’s

@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

@velezbeltran.bsky.social

Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!

@idiaz.bsky.social

Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/

@axelmartin.bsky.social

@arxiv-cs-cl.bsky.social

Computer Science -- Computation and Language source: export.arxiv.org/rss/cs.CL maintainer: @tmaehara.bsky.social

@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

@bsky.app

official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]