Michael Lepori

Assistant Professor at Bar-Ilan University https://yanaiela.github.io/

Asst prof @ University of Utah · NLP · she/her 🇭🇷

Associate professor of social computing at UW CSE, leading @socialfutureslab.bsky.social social.cs.washington.edu

Research Fellow @ Kempner Institute, Harvard University Theory of Deep Learning / Learning of Deep Theory

Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)

President of Signal, Chief Advisor to AI Now Institute

Postdoc in the Language and Cognition lab at UC San Diego. I’m interested in persuasion, deception, LLMs, and social intelligence.

AI, RL, NLP, Games Asst Prof at UCSD Research Scientist at Nvidia Lab: http://pearls.ucsd.edu Personal: prithvirajva.com

https://mars-tin.github.io member of technical staff @ ___ member of less technical stuff @ aclmentorship phd @ umich; bs @ sjtu prev. @ mit-ibm-watson, adobe, amazon herborium lover, fortune teller, pokémon trainer, szechuan cuisine chef.

Working on #NLProc for social good. Currently at LTI at CMU. 🏳‍🌈

Staff scientist @WashU👩🏻‍🔬 Neuro PhD @Princeton, researching cognitive control, decision making & neurodivergent in computational psychiatry, she/her, Latina 🇨🇺. Views my own. Stand Up for Science!

Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com

I study how people solve big problems with small brains. Starting at Dartmouth in 2026—I'm recruiting! https://fredcallaway.com

Postdoc working on human cognition about abstract concepts at the SWC, London. Cog/comp-(neuro)scientist wannabe; adequate climber.

Postdoc at Harvard and MIT.

Natural and artificial general intelligence. https://marcelbinz.github.io/

she/her pronounced Ya'elle, not like the university. Comp cog neuro, feminist, activist, mom. Stop the war NOW. End the occupation. Equality will bring security.

Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.

Associate Professor, Psychological & Brain Sciences, Johns Hopkins University. theoretical neuroscience; open-ended cognition; memory

Neuroscientist, in theory. Studying sleep and navigation in 🧠s and 💻s. Wu Tsai Investigator, Assistant Professor of Neuroscience at Yale. An emergent property of a few billion neurons, their interactions with each other and the world over ~1 century.

NeuroAI, vision, open science. NeuroAI researcher at Amaranth Foundation. Previously engineer @ Google, Meta, Mila. Updates from http://neuroai.science

NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI

Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn

Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.

computational cog sci • problem solving and social cognition • asst prof at NYU • https://codec-lab.github.io/

Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io). elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant

Cognitive neuroscientist studying visual and social perception. Asst Prof at JHU Cog Sci. She/her

computational cognitive science @ nyu. director NYU minds, brains, and machines initiative. https://gureckislab.org. Are you interested in research in my lab? https://intake.gureckislab.org/interest/

Cognitive scientist, philosopher, and psychologist at Berkeley, author of The Scientist in the Crib, The Philosophical Baby and The Gardener and the Carpenter and grandmother of six.

Tea drinking assistant professor of cognitive psychology at Stanford. https://cicl.stanford.edu

Psychologist, but not the kind that can help you

Cognitive neuroscience at MIT. Open science. 🇨🇦 Saxelab.mit.edu

Cognitive scientist at Stanford. Open science advocate. Symbolic Systems Program director. Bluegrass picker, slow runner, dad. http://langcog.stanford.edu

Prof at Cornell studying how human-AI dialogues can correct inaccurate beliefs, why people share falsehoods, and ways to reduce political polarization and promote cooperation. Computational social science + cognitive psychology. https://www.DaveRand.org/

Professor of Psychology & Human Values at Princeton | Cognitive scientist curious about technology, narratives, & epistemic (in)justice | They/She 🏳️‍🌈 www.crockettlab.org

PI Computational Cognitive Science (BoCoCo) lab in Edinburgh 🏴󠁧󠁢󠁳󠁣󠁴󠁿 https://zhaobn.github.io

I’m not like the other Bayesians. I’m different. Thinks about philosophy of science, AI ethics, machine learning, models, & metascience. postdoc @ Princeton.

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

Cognitive scientist / philosopher working on modality and high level cognition. Cognitive science at Dartmouth https://phillab.host.dartmouth.edu/ Photo credit: Justin Khoo

Asst Prof at Johns Hopkins. Dog person. A woman who is up to something. www.liulaboratory.org

Cognitive scientist seeking to reverse engineer the human cognitive toolkit. Asst Prof of Psychology at Stanford. Lab website: https://cogtoolslab.github.io

Philosopher of Artificial Intelligence & Cognitive Science https://raphaelmilliere.com/

Promoting Cognitive Science as a discipline and fostering scientific interchange among researchers in various areas. 🌐 https://cognitivesciencesociety.org

Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/

Professor of Computational Cognitive Science | @AI_Radboud | @Iris@scholar.social on 🦣 | http://cognitionandintractability.com | she/they 🏳️‍🌈

AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.

AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him

I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.

Research Scientist at Google DeepMind, in the People + AI Research (PAIR) team. savvaspetridis.github.io

Staff Research Scientist, People + AI Research (PAIR) team at Google DeepMind. Interpretability, analysis, and visualizations for LLMs. Opinions my own. iftenney.github.io

Research Scientist, People + AI Research (PAIR) team at Google DeepMind.

Machine learning, interpretability, visualization, Language Models, People+AI research

Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home

PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin https://web.ml.tu-berlin.de/author/laura-kopf/

Ph.D. student at @jhuclsp, human LM that hallucinates. Formerly @MetaAI, @uwnlp, and @AWS they/them🏳️‍🌈 #NLProc #NLP Crossposting on X.

PhDing @AIM_Harvard @MassGenBrigham｜PhD Fellow @Google | Previously @Bos_CHIP @BrandeisU More robustness and explainabilities 🧐 for Health AI. shanchen.dev

PhD student @CMU LTI - working on model #interpretability, student researcher @google; prev predoc @ai2; intern @MSFT nishantsubramani.github.io

Aspiring 10x reverse engineer at Google DeepMind

PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.github.io 🏂🎹🚵‍♀️🥋

PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA

Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they

https://yuzhaouoe.github.io/ | third-year PhD Student @ University of Edinburgh | Prev. Intern @ Microsoft Research Cambridge | Opening the Black Box for Efficient Training/Inference

AI researcher at Mila, visiting researcher at Meta Also on X: @soniajoseph_

Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social. Interpretability ∩ HCI ∩ #NLProc. Creator of @inseq.org. Prev: PhD @gronlp.bsky.social, ML @awscloud.bsky.social gsarti.com

Research in NLP (mostly LM interpretability & explainability). Assistant prof at UMD CS + CLIP. Previously @ai2.bsky.social @uwnlp.bsky.social Views my own. sarahwie.github.io

LM/NLP/ML researcher ¯\_(ツ)_/¯ yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io

PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan

I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.

NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS

ml/nlp phding @ usc, currently visiting harvard, scientisting @ startup; interpretability & training & reasoning iglee.me

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

Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io

PhD in ML @Mila/UdeM LLM robustness, safety, interpretability

I fall in love with a new #machinelearning topic every month 🙄 Ass. Prof. Sapienza (Rome) | Author: Alice in a differentiable wonderland (https://www.sscardapane.it/alice-book/)

PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment

Postdoc at Uppsala University Computational Linguistics with Joakim Nivre PhD from LMU Munich, prev. UT Austin, Princeton, @ltiatcmu.bsky.social, Cambridge computational linguistics, construction grammar, morphosyntax leonieweissweiler.github.io

Assistant Professor of Linguistics, and Harrington Fellow at UT Austin. Works on computational understanding of language, concepts, and generalization. 🕸️👁️: https://kanishka.website

https://najoung.kim langauge

Computational semantics and pragmatics, interpretability and occasionally some psycholinguistics. he/him. 🦝 https://sebschu.com

CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/

Computational Linguist and Professional Nerd at Georgetown University he/him pronouns, ALL the prepositions. http://nathan.cl

Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP

Director, MIT Computational Psycholinguistics Lab. President, Cognitive Science Society. Chair of the MIT Faculty. Open access & open science advocate. He. Lab webpage: http://cpl.mit.edu/ Personal webpage: https://www.mit.edu/~rplevy

NYU professor, Google research scientist. Good at LaTeX.

Postdoc at ETH. Formerly, PhD student at the University of Cambridge :)

I make colorless green GPUs sleep brrriously. Computational phonology, morphology, language change models, speech/language technologies (especially for people with disabilities).

a natural language processor and “sensible linguist”. PhD-ing LTI@CMU, previously BS-ing Ling+ECE@UTAustin 🤠🤖📖 she/her lindiatjuatja.github.io

Assistant professor at Yale Linguistics. Studying computational linguistics, cognitive science, and AI. He/him.

Assistant Professor @cislmu.bsky.social @lmu.de

Stanford Professor of Linguistics and, by courtesy, of Computer Science, and member of @stanfordnlp.bsky.social and The Stanford AI Lab. He/Him/His. https://web.stanford.edu/~cgpotts/

Research Scientist at Ai2, PhD in NLP 🤖 UofA. Ex GoogleDeepMind, MSFTResearch, MilaQuebec https://nouhadziri.github.io/

Postdoc @rug.nl with Arianna Bisazza. Interested in NLP, interpretability, syntax, language acquisition and typology.

Faculty fellow at NYU CDS. Previously: PhD @ BIU NLP.

NLP, Linguistics, Cognitive Science, AI, ML, etc. Job currently: Research Scientist (NYC) Job formerly: NYU Linguistics, MSU Linguistics

Assistant Professor of Computational Linguistics @ Georgetown; formerly postdoc @ ETH Zurich; PhD @ Harvard Linguistics, affiliated with MIT Brain & Cog Sci. Language, Computers, Cognition.

Interpretable Deep Networks. http://baulab.info/ @davidbau