a pile of small dogs in a meaty land vessel • KC1QGV • they/them
prone to creating technological cognitohazards
making music again
member of Gem Coop's Project Leadership Committee
#rustlang, #rubylang, #pythonlang, #cprogramming
San Francisco, typescript, xmplaylist.com
Doing frontend stuff at @sentry.io
ATX - he/him - 🥂Humans are more important than code - I work at an entertainment company and volunteer my time making art on github
https://github.com/wesleytodd
Fast, disk space efficient package manager
pnpm.io
Coding @ github.com/qix-, making an operating system @ github.com/oro-os
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Lawyer, commentator, fighter for democracy. Prosecuted Trump University @ NY AG. #NAFO Fella. Author of Taking Down Trump. Host of the Tristan Snell Show on Apple and Spotify.
Substack - tristansnell.com
Never Bullshit
I challenge any and every one who wants to kick my ass to a debate .
https://www.patreon.com/dril
https://www.instagram.com/dril
https://linktr.ee/drilreal
DevOps’ish | Kubernetes Contributor | Open Source | Corgis | LEGO | Detroit | Disabled Veteran | He/Him | Views solely mine
Ukrainian patriot. Advisor to Internal Affairs Minister (2021-2023). Support my team of volunteer translators: http://patreon.com/TwitterAG
Stand up -koomikko. Tuottaja. Käsikirjoittaja. Luonnonsuojelija. Videopelinörtti.
Software Design Loudmouth. Works for Thoughtworks. Also hikes, watches theater, and plays modern board games. He/him.
host of https://martinfowler.com
Software engineer, author, speaker.
Field CTO of Cloudogu.
My particular interests are #k8s, #GitOps, #PlatformEngineering, #o11y, #IaC, #DevOps technical leadership and of course #FLOSS/ #FOSS/ #OSS.
I like owning my data and devices.
Music and artificial intelligence.
Researcher at Stability AI.
Musician at BRNRT Collective.
Previously at Dolby and Universitat Pompeu Fabra.
artintech.substack.com
www.jordipons.me
Probably the most modern and sophisticated insecure web application. Only we offer a 100% @owasp.org Top Ten incompliance guarantee! Skeets by @bkimminich.bsky.social
Videos. Educational? Not really. Funny? Eh.
youtube.com/@captaindisillusion
patreon.com/captaindisillusion
Fighting Disinformation since 2022.
Soups: https://vatniksoup.com/
Debunk of the Day: https://vatniksoup.com/en/topics/debunk-of-the-day/
Support our work: https://vatniksoup.com/en/support-our-work/
Founder of Tax Policy Associates Ltd. Tax realist. @danneidle on Twitter
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/
BOOK: AI Snake Oil. https://www.aisnakeoil.com/
Founder & PI @aial.ie. Assistant Professor of AI, School of Computer Science & Statistics, @tcddublin.bsky.social
AI accountability, AI audits & evaluation, critical data studies. Cognitive scientist by training. Ethiopian in Ireland. She/her
Asst Prof of Information @ UMich thinking about assumptions built into AI
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
CS PhD candidate at Princeton. I study the societal impact of AI.
Website: cs.princeton.edu/~sayashk
Book/Substack: aisnakeoil.com
Associate professor at the University of Chicago. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
asst prof @ cornell info sci | fairness in tech, public health & services | alum of MSR, Stanford ICME, NERA Econ, MIT Math | she/her | koenecke.infosci.cornell.edu
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Asst Prof at Cornell Info Sci and Cornell Tech. Responsible AI
https://angelina-wang.github.io/
Machine learning researcher, working on causal inference and healthcare applications
Assistant Prof of AI & Decision-Making @MIT EECS
I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL.
I work on value (mis)alignment in AI systems.
https://people.csail.mit.edu/dhm/
AI Policy Fellow @ Princeton | PhD Carnegie Mellon | privacy, accountability, & algorithmic systems
assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
Assistant Professor of Sociology at NYU. Classification, prediction, and AI in decision-making, social policy, and law.
www.simonezhang.com
Professor of Sociology, Princeton, www.princeton.edu/~mjs3
Author of Bit by Bit: Social Research in the Digital Age, bitbybitbook.com
Associate Professor of Sociology, Princeton
http://brandonstewart.org/
Assistant professor at Northwestern Kellogg | human AI collaboration | computational social science | affective computing
Behavioral Scientist.
Lately, I've been thinking (and posting) about: AI+Psych, Personal Finance, Consumer Behavior. Civically engaged, so I occasionally post about that too.
🏳️🌈 just a simple country AI ethicist | Assistant Professor, Western University 🇨🇦 | Co-Director, @starlingcentre.bsky.social | he/his/him | | no all-male panels |#BLM | 🏳️⚧️ ally | views my own
https://starkcontrast.co/
https://starlingcentre.ca/
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
CS faculty at University College Dublin and the University of Massachusetts Amherst: responsible AI, social media, news media, computational social science, applied NLP, open-world AI
RT≠endorsement, RT=interesting read
More: https://przemyslslaw.github.io
CS PhD student at UPenn studying strategic human-AI interaction. On the job market! Nataliecollina.com
Assistant research prof at Cornell, interested in bridging responsible and robust algorithm design and practice.
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
Associate Prof. of Economics @utaustin. Director http://learningcollider.org. @NBERpubs affiliate. Co-Chair @mit @jpal edtech. Schmidt Futures Innovation Fellow. www.peter-bergman.com.
Assistant Professor @teacherscollege.bsky.social @columbiauniversity.bsky.social | Responsible AI and educational equity | He/him
renzheyu.com
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
Postdoc @Microsoft Research NE
https://yifanwu.me
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
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
CS prof at Haverford, Chair @acm.org U.S. tech policy, @brookings.edu nonres Senior Fellow, former White House OSTP tech policy, co-author AI Bill of Rights, research on AI and society, @facct.bsky.social co-founder
formerly @kdphd 🐦
sorelle.friedler.net
Assistant Professor of Biostatistics at Columbia.
I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own.
http://www.dmalinsky.com
HCI Prof at CMU HCII: thecoalalab.com
Research on:
- technologies to augment human thinking and learning
- participatory & responsible AI
- human-AI interaction
Assistant professor in the University of Michigan School of Information. https://www.benzevgreen.com
Researcher @Microsoft; PhD @Harvard; Incoming Assistant Professor @MIT (Fall 2026); Human-AI Interaction, Worker-Centric AI
zbucinca.github.io
PhD Student in Machine Learning at CMU. yewonbyun.github.io
Associate Professor, ESADE | PhD, Machine Learning & Public Policy, Carnegie Mellon | Previously FAccT EC | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
🏳️🌈🇺🇸🇨🇦🇮🇳🇺🇦 #DemocracyMatters | #Java #DevRel at #Oracle | Previously at Sun Microsystems, Verizon, & Bell Atlantic | University of Maryland (Undergrad) and Loyola University, Baltimore (MBA) | 70s rock and R&B, 80s alternative and Rap lover | Views mine
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his)
https://laurent-dinh.github.io/
Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2026 #ECCV2026 Publicity Chair
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Research scientist, Inria. Statistical machine learning.
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
web @ https://argmin.xyz
interests: machine learning, ai4science, algorithms, coding
member of technical staff @ https://cusp.ai
past @ MSR, DeepMind, MPI-IS
home @ Heimbach (Gilserberg), Berlin, Europe
born @ 353 ppm
block toxicity
he/him
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
