Researcher at OpenAI and at the GenLaw Center.
I just want things to work (:
https://katelee168.github.io/
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
Algorithmic Fairness Across Alignment Procedures and Agentic Systems (AFAA) Workshop at ICLR 2026
Postdoctoral Scholar in CS at Stanford | Trustworthy AI
PhD student @MIT. Previously: @Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati
PhD candidate @ Stanford NLP
https://myracheng.github.io/
University of Washington CSE PhD Student
Building my data praxis and researching how data scientists build theirs
PhD @ MIT EECS | ML Fairness and Responsible AI | he/they
Previously Princeton AB Mathematics and Visual AI Lab
aaronserianni.com
PhD student @ Cornell info sci | Sociotechnical fairness & algorithm auditing | Previously Stanford RegLab, MSR FATE, Penn | https://emmaharv.github.io/
Responsible AI & Human-AI Interaction
Currently: Research Scientist at Apple
Previously: Princeton CS PhD, Yale S&DS BSc, MSR FATE & TTIC Intern
https://sunniesuhyoung.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.
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
PhD student at University of Michigan School of Information. Data and evaluation practices for language models / language models as cultural technologies.
https://meera-desai.com
Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Head of Research & Distinguished Scientist @ MongoDB | ex-Professor @ Brown University | Aroki co-founder (acquired by MongoDB) | ex-Microsoft Research. More at senykamara.com
NEJM AI, a new monthly journal from the publisher of @nejm.org, explores the cutting-edge applications of artificial intelligence and machine learning in clinical medicine. Online at ai.nejm.org.
natural language processing and computational linguistics at google deepmind.
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
She/Her • AI Engineer @ IBM Research • MSc in AI @ UFMG 🇧🇷 | Interested in AI Ethics, Safety & Tech Governance. AI/ML engineering & robustness • @blackinai👩🏽💻 (I’m trying to leave twitter🙂↕️)
https://mirianfsilva.github.io
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
President of Signal, Chief Advisor to AI Now Institute
Computer Science PhD Student @ Stanford | Geopolitics & Technology Fellow @ Harvard Kennedy School/Belfer | Vice Chair EU AI Code of Practice | Views are my own
AI and Biology. Want to cure cancer.
Manchester Centre for AI FUNdamentals | UoM | Alumn UCL, DeepMind, U Alberta, PUCP | Deep Thinker | Posts/reposts might be non-deep | Carpe espresso ☕
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
ml, stats, and low notes; currently phd-ing @ brown cs
Postdoc at UW NLP 🏔️. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at Berkeley, Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. lucy3.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Anthropic and Import AI. Previously OpenAI, Bloomberg, The Register. Weird futures.
AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
CS PhD candidate @UCBerkeley. Interested in multilingual and low-resourced language NLP + HCI. @SIGHPC CDS Fellow. Interned @MBZUAI. Current intern at DAIR
Website: https://hhnigatu.github.io
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
Tenure-track faculty at the Max Planck Institute for Software Systems
Previously postdoc at UW and AI2, working on Natural Language Processing
Recruiting PhD students!
🌐 https://lasharavichander.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
technology mother @ the washington post. baddie in the digital badlands. signal: nitasha.10
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Principal Scientist @LilaSciences. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.github.io/
I wrote a book.
Free pdf: http://trustworthymachinelearning.com
Paperback: http://amazon.com/dp/B09SL5GPCD
Posts are my own and don't necessarily represent IBM.
Perspectives my own, not those of my employer https://arjunsubramonian.github.io/
MIT // researching fairness, equity, & pluralistic alignment in LLMs
previously @ MIT media lab, mila / mcgill
i like language and dogs and plants and ultimate frisbee and baking and sunsets. she/her
https://elinorp-d.github.io
Ethical/Responsible AI. Rigor in AI. Grumpy eastern european in north america. Lovingly nitpicky.
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
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her.
One photo a day since January 2018: https://www.instagram.com/logisticaggression/
🇿🇦 | Fairness in AI | University of Oxford | Deep Learning Indaba | Internships: Google DeepMind || Microsoft Research
https://siobhanmackenziehall.com/
Senior Research Scientist at Google DeepMind.
🌐 jasmijn.bastings.me
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
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/
Assist Prof of computer science @UMichigan CSE & professional email sender. Previously @MIT
Machine learning. Causality. Robustness. Healthcare.
👀 || ESM3 || Princeton PhD || MIT BS/MEng || former ai resident @google, intern @nvidia || Bay Area native
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
CS PhD student @Brown | Biomedical AI | IR | NLP.
Bio: https://tassabdul.github.io/
NLP, ML & society, healthcare.
PhD student at Berkeley, previously CS at MIT.
https://rajivmovva.com/
AI, RL, DL, Chip Design.
Researcher @GoogleDeepMind. #OSS #JAX
#feminist #AntiRacist he/him
https://scholar.google.com/citations?user=gYiCq88AAAAJ&hl=en
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
go bears!!!
jessicad.ai
kernelmag.io
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Data & Society is a nonprofit research institute that studies the social implications of data-centric technologies, automation, and AI.
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery.
PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify.
📍London 🔗 cianeastwood.github.io
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Graduate student @Mila_Quebec @UMontrealDIRO | RL/Deep Learning/AI | De Cali/Colombia pal’ Mundo 🇨🇴 | #JuntosProsperamos⚡#TogetherWeThrive| 🌱🌎
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
Researcher at Inria Saclay, team Soda
working on machine learning and causal inference for health data
Research Scientist@Google DeepMind
Assoc Prof@York University, Toronto
mbrubake.github.io
Research: Computer Vision and Machine Learning, esp generative models.
Applications: CryoEM (cryoSPARC), Statistics (Stan), Forensics, and more
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Associate Professor, ESADE | PhD, Machine Learning & Public Policy, Carnegie Mellon | Previously FAccT EC | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Research in AI/ML at Google DeepMind. Touche-à-tout.
Eternal learner, incorrigible thinker. Roaming AI researcher, maker, idea generator. Sometimes I even complete things. Eventually. Best known for infectious enthusiasm and irrepressible outbursts. My laughter is with me, not at you. Cis settler ally.
Professor of Computer Science, Stanford - HCI & Design, Co-Founder & Co-Director Stanford HAI @stanfordhai.bsky.social
Researcher, Microsoft Research; Faculty, Information Science, Cornell University
Computational Social Scientist (he/him). Fairness & Ethics in NLP/ML/AI. Staff Research Scientist @ Google. Research Affiliate @ Stanford SPARQ.
https://cs.stanford.edu/~vinod/
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
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
CS PhD candidate at Princeton. I study the societal impact of AI.
Website: cs.princeton.edu/~sayashk
Book/Substack: aisnakeoil.com
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab
Computational Social Science & NLP
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
AI scientist & consultant :: prev Amazon Alexa, Toshiba, Cam Uni :: voice & language tech :: powered by coffee :: photographer :: Cambridge UK
https://www.catherinebreslin.co.uk
Associate Professor, CMU. Researcher, Google. Evaluation and design of information retrieval and recommendation systems, including their societal impacts.
Scholar, author, policy advisor
alondranelson.com
Science, Technology, and Social Values Lab
https://www.ias.edu/stsv-lab
