David Schneider-Joseph
Working on AI gov. Past: Technology and Security Policy @ RAND re: AI compute, telemetry database lead & 1st stage landing software @ SpaceX; AWS; Google.
@jdmortenson.bsky.social
University of Michigan law professor. Legal historian. Constitutional litigator. Writing a book on executive power in early America. Probably kidding. Faculty bio at http://bit.ly/jdm-bio
@sailorrooscout.bsky.social
Senior Scientist | Vaccine Research & Development | NIH | NIAID | VRC | 🧬🧫🦠🔬💉🥼🥽 | 🏳️🌈 | @coralchimera.bsky.social 💍 | @phoenixnest.bsky.social & @multicolorbark.com🧵🪡
@democrats.senate.gov
We are the Senate Democrats, and we're working hard for the American people.
@chrisgeidner.bsky.social
Subscribe to www.lawdork.com for SCOTUS, Trump, LGBTQ, criminal justice, and other legal news. / Email: lawdorknews@gmail.com / Signal: crg.32 / About me: Sober. Queer. Bipolar. Buckeye. / He/him.
@angus.bsky.social
CUNY prof. Historian of, and advocate for, student organizing. @studentactivism from Twitter.
@docvanden.bsky.social
Ethicist and troublemaker. The only way out is through. The only way through is together. (she/her) 🏳️⚧️🏳️🌈🇵🇸
@drjennings.bsky.social
I research and write about politics, public policy, public opinion, polls, elections, geography, place, trust. I run on espresso.
@petebuttigieg.bsky.social
Husband, dad, veteran, writer, and proud Midwesterner. 19th US Secretary of Transportation and former Mayor of South Bend.
@gowder.io
Prof @ Northwestern law, political theorist, cat parent. Black lives matter. Profile, pubs, etc: https://gowder.io All my books (rule of law, racial justice, platform governance) are downloadable in free open access pdf @ https://books.gowder.io
@ellenlweintraub.bsky.social
Longtime FEC Commissioner, 4-time Chair, lawyer, mom, wife, believer in democracy and rule of law
@skyeperryman.bsky.social
President & CEO, Democracy Forward | supporter of the arts | alum of ACOG, WilmerHale, Covington, Baylor U, Georgetown Law | our kids will ask what we did | views mine
@wired.com
At wired.com where tomorrow is realized || Sign up for our newsletters: https://wrd.cm/newsletters Find our WIRED journalists here: https://bsky.app/starter-pack/couts.bsky.social/3l6vez3xaus27
@mimansaj.bsky.social
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs http://mimansajaiswal.github.io/
@variint.bsky.social
Lost in translation | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@bharathr98.com
Theoretical physicist at day. ML researcher at night. Currently split between CERN and UniGE. Ex - IISER-M, @caltech.edu https://scholar.google.com/citations?user=8BDAnVAAAAAJ
@jeku.bsky.social
Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@panisson.bsky.social
Principal Researcher @ CENTAI.eu | Leading the Responsible AI Team. Building Responsible AI through Explainable AI, Fairness, and Transparency. Researching Graph Machine Learning, Data Science, and Complex Systems to understand collective human behavior.
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@sarah-nlp.bsky.social
Research in LM explainability & interpretability since 2017. sarahwie.github.io Postdoc @ai2.bsky.social & @uwnlp.bsky.social PhD from Georgia Tech Views my own, not my employer's.
@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
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@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!
@mdhk.net
Linguist in AI & CogSci 🧠👩💻🤖 PhD student @ ILLC, University of Amsterdam 🌐 https://mdhk.net/ 🐘 https://scholar.social/@mdhk 🐦 https://twitter.com/mariannedhk
@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
@jkminder.bsky.social
CS Student at ETH Zürich, currently doing my masters thesis at the DLAB at EPFL Mainly interested in Language Model Interpretability. Most recent work: https://openreview.net/forum?id=Igm9bbkzHC MATS 7.0 Winter 2025 Scholar w/ Neel Nanda jkminder.ch
@ovdw.bsky.social
Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience Thoughts & opinions are my own and do not necessarily represent my employer.
@elianapastor.bsky.social
Assistant Professor at PoliTo 🇮🇹 | Currently visiting scholar at UCSC 🇺🇸 | she/her | TrustworthyAI, XAI, Fairness in AI https://elianap.github.io/
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@peyrardmax.bsky.social
Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
@simonschrodi.bsky.social
🎓 PhD student @cvisionfreiburg.bsky.social @UniFreiburg 💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate science https://simonschrodi.github.io/
@angieboggust.bsky.social
MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
@mariaeckstein.bsky.social
Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
@neelrajani.bsky.social
PhD student in Responsible NLP at the University of Edinburgh, passionate about MechInterp
@andreasmadsen.bsky.social
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
@jaom7.bsky.social
Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo
@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@marielza.bsky.social
Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute. UNESCO Women in STEM Committee Some pottery and cyanotyping Profile picture is of my face and torso Banner is a picture I took of a light garden
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@norabelrose.bsky.social
AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.