Research Fellow, University of Oxford
Theology, philosophy, ethics, politics, environmental humanities
Associate Director @LSRIOxford
Anglican Priest
https://www.theology.ox.ac.uk/people/revd-dr-timothy-howles
The nation's oldest continuously published daily college newspaper. thecrimson.com
We're an Al safety and research company that builds reliable, interpretable, and steerable Al systems. Talk to our Al assistant Claude at Claude.ai.
Research collaboration among 5 universities in Denmark: Aalborg University, IT University of Copenhagen, University of Aarhus, Technical University of Denmark, and the University of Copenhagen.
https://www.aicentre.dk/
Bold science, deep and continuous collaborations.
Let's build AI's we can trust!
English PhD turned Machine Learning Researcher. I medicate my imposter syndrome with cold brews.
Current:
Foundation Models @ Apple
Prev:
LLMs/World Models @ Riot Games
RecSys @ Apple
Seattle -> NYC 🏳️🌈
PhD @Stanford working w @noahdgoodman and research fellow @GoodfireAI
Studying in-context learning and reasoning in humans and machines
Prev. @UofT CS & Psych
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
Research scientist @mit @fluidinterfaces @mitmedialab
Ph.D in Computer Science and Brain Computer
Interfaces.
Project lead @NeuraFutures, Augmenting Brains
https://linktr.ee/nataliyakosmyna
✨ Comprehensive evaluation of the INTERPLAY between model internals and behavior
✨ https://interplay-workshop.github.io/
✨ Submission due June 23rd
✨ October 10th, @colmweb.org
Working on LLM interpretability; recent graduate from uchicago.
slhleosun.github.io
Challenging the Foundation of Computer Science. ttic.edu
Researcher @Microsoft; PhD @Harvard; Incoming Assistant Professor @MIT (Fall 2026); Human-AI Interaction, Worker-Centric AI
zbucinca.github.io
I’m a professor at Cornell Tech and Cornell Law School.
One of "a number of very informative people." -WSJ
https://unireps.org
Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
NLP Researcher | CS PhD Candidate @ Technion
NLP, AI, LM research director at Ai2; Professor at UW
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
Director, Princeton Language and Intelligence. Professor of CS.
25th International Conference on Autonomous Agents and Multiagent Systems
May 25-29, 2026
Paphos, Cyprus
https://cyprusconferences.org/aamas2026
NLP | Interpretability | PhD student at the Technion
A small creature who likes to run around in universities.
Prof. Harvard Law School, Harvard School of Engineering and Applied Sciences, and Harvard Kennedy School. EFF Board. Director of the Berkman Klein Center for Internet & Society and the HLS Library.
NLP PhD student @convai_uiuc | Agents, Reasoning, evaluation etc.
https://sagnikmukherjee.github.io
https://scholar.google.com/citations?user=v4lvWXoAAAAJ&hl=en
The largest workshop on analysing and interpreting neural networks for NLP.
BlackboxNLP will be held at EMNLP 2025 in Suzhou, China
blackboxnlp.github.io
ML, λ • language and the machines that understand it • https://ocramz.github.io
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
Running experiments @OpenAI + @ml-collective.bsky.social
Prev: Windscape AI, Uber AI Labs founding team, adviser Recursion Pharma, Cornell, Montreal, Caltech 🌻
Slowly becoming a neuroscientist.
EiC @elife.bsky.social
Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.
NLP & ML research @cohereforai.bsky.social 🇨🇦
website: https://t.co/ml5yPJjZLO Natural Language Processing and Machine Learning researcher at the University of Cambridge. Member of the PaNLP group: https://www.panlp.org/ and fellow of Fitzwilliam College.
AI PhDing at Mila/McGill. Happily residing in Montreal 🥯❄️
Academic stuff: language grounding, vision+language, interp, rigorous & creative evals, cogsci
Other: many sports, urban explorations, puzzles/quizzes
bennokrojer.com
Machine Learning PhD @ Harvard
Professoring at Harvard || Researching at MSR || Previously: MIT CSAIL, NYU, IBM Research, ITAM
PhD student doing LLM interpretability with @davidbau.bsky.social and @byron.bsky.social. (they/them) https://sfeucht.github.io
Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️🌈
Janice M. Jenkins Collegiate Professor of Computer Science at U. Michigan, Director Michigan AI Lab, Former ACL President, AAAI Fellow, ACM Fellow. Researcher #NLProc #AI
🔗 https://web.eecs.umich.edu/~mihalcea/
AI, philosophy, spirituality
Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
Grad Student at Harvard SEAS
Interested in ML Interpretability, Computational Neuroscience, Signal Processing
Helping machines make sense of the world. Asst Prof @icepfl.bsky.social; Before: @stanfordnlp.bsky.social @uwnlp.bsky.social AI2 #NLProc #AI
Website: https://atcbosselut.github.io/
PhD Student Stanford w/ Noah Goodman, studying reasoning, discovery, and interaction. Trying to build machines that understand people.
StanfordNLP, Stanford AI Lab
AI Researcher
Prof @ EPFL, Lead @ CLAIRE lab, ELLIS Scholar
Ex: Staff Research Scientist @ Deepmind, MSR, IBM Research
Postdoc @ TakeLab, UniZG | previously: Technion; TU Darmstadt | PhD @ TakeLab, UniZG
Faithful explainability, controllability & safety of LLMs.
🔎 On the academic job market 🔎
https://mttk.github.io/
#NLP Postdoc at Mila - Quebec AI Institute & McGill University
mariusmosbach.com
Making AI safer at Google DeepMind
davidlindner.me
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
Founder & Chief Innovation Officer @ Bluesky
🌱 🪴 🌳
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
https://chicagohai.github.io/, https://substack.com/@cichicago
awrd wnning AGI rsrchr (2 awrds so far) | mtlhed | msician | fnishng CS PhD | optmst | opn src enthusiast | michaeltimothybennett.com/research
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Senior Applied Scientist - Microsoft
(Opinions are my own)
Ex: Google Research PhD intern
https://yassersouri.github.io
https://cfpark00.github.io/
Driven by industry progress, inspired by provocative leadership, plus don't mind a good pair of shoes or a great @PennStateFball scoreboard either.
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
CEO of dataliteracy.com, author of nine books on data and AI including Avoiding Data Pitfalls and AI Literacy Fundamentals
PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
PhD at EPFL 🧠💻
Ex @MetaAI, @SonyAI, @Microsoft
Egyptian 🇪🇬
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev)
https://andrewilyas.com
Artist, researcher, educator, instigator. Chaotic Good.
Research Fellow @ Kempner Institute, Harvard University
Theory of Deep Learning / Learning of Deep Theory
Assistant professor of computer science at Technion; visiting scholar at @KempnerInst 2025-2026
https://belinkov.com/
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
Research scientist at Meta on the llama team
Thinking about language models
Past: PhD at NYU, fellow at Harvard’s Kempner Institute
The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence.
🔗 NDIF: https://ndif.us
🧰 NNsight API: https://nnsight.net
😸 GitHub: https://github.com/ndif-team/nnsight
CS PhD @Harvard • Pre-doc @GoogleDeepMind • Anything `science', ~cosmos, and Oxford commas
Code, AI, and 3D printing. Opinions are my own, not my computer's...for now. Co-creator of DALL-E 2. Researcher @openai.
Personal Account
Founder: The Distributed AI Research Institute @dairinstitute.bsky.social.
Author: The View from Somewhere, a memoir & manifesto arguing for a technological future that serves our communities (to be published by One Signal / Atria
I know you seen it prompting itself
Assistant Professor @ UChicago CS & DSI UChicao
Leading Conceptualization Lab http://conceptualization.ai
Minting new vocabulary to conceptualize generative models.
Researcher in NLP, ML, computer music. Prof @uwcse @uwnlp & helper @allen_ai @ai2_allennlp & familiar to two cats. Single reeds, tango, swim, run, cocktails, מאַמע־לשון, GenX. Opinions not your business.
Open and scalable technology for understanding AI systems. transluce.org
PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him.
www.danieldjohnson.com
Professor and Canada CIFAR AI Chair (Amii) at the University of Alberta, Dept. Medicine, BLINCLab. Corporate director. Previously: office co-lead at DeepMind Alberta. https://pilarski.github.io
Assistant Professor @Mila-Quebec.bsky.social
Co-Director @McGill-NLP.bsky.social
Researcher @ServiceNow.bsky.social
Alumni: @StanfordNLP.bsky.social, EdinburghNLP
Natural Language Processor #NLProc
Assistant Professor in Computer Science, McGill University /
Mila Quebec AI Institute. Co-Founder and Chair, Climate Change AI. MIT Tech Review "Innovator Under 35". he/him/his
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
Associate Professor at Mila. Working on Generative AI, Geometric Deep Learning for Protein Design, Multiomics
Associate Professor at Polytechnique Montreal and Mila.
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Assistant Professor & Canada CIFAR AI Chair, University of Waterloo & Vector Institute | Excited about "grounding" in any form | Feeder of 2 🐈 | 🏸, 🏐, 🏂 | she/her
Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group
Interested in AI safety and interpretability
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
PhD student at MIT.
Working on mechanistic interpretability and AI safety.
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
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
PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan
Mechanistic interpretability
Creator of https://github.com/amakelov/mandala
prev. Harvard/MIT
machine learning, theoretical computer science, competition math.
PhD student at ETH Zurich & MPI-IS in NLP & ML
Language, Reasoning, and Cognition
https://opedal.github.io
PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow.
hannamw.github.io
