PhD @ UCI | saatvikkher.github.io
Postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam.
Previously PhD Student at NLPNorth at the IT University of Copenhagen, with internships at AWS, Parameter Lab, Pacmed.
dennisulmer.eu
Statistics PhD student @UCBerkeley
http://aulichney.github.io/
🎓 PhD student at the Max Planck Institute for Intelligent Systems
🔬 Safe and robust AI, algorithms and society
🔗 https://andrefcruz.github.io
📍 researcher in 🇩🇪, from 🇵🇹
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
Assistant Professor @ UChicago CS & DSI UChicao
Leading Conceptualization Lab http://conceptualization.ai
Minting new vocabulary to conceptualize generative models.
A field-defining intellectual hub for data science and AI research, education, and outreach at the University of Chicago
https://datascience.uchicago.edu
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学
Information Sciences and English, UIUC. Distant Horizons (Chicago, 2019). tedunderwood.com
https://chicagohai.github.io/, https://substack.com/@cichicago
A team of three human PIs—Ari Holtzman, Mina Lee, and Chenhao Tan studying and building the new information ecosystem of humans and machines. https://substack.com/@cichicago, https://ci.cs.uchicago.edu/
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Professor for AI at Hasso Plattner Institute and University of Potsdam
Berlin (prev. Rutgers NJ USA, Tsinghua Beijing, Berkeley)
http://gerard.demelo.org
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
Professor @Columbia University, Director of @LEAPstc NSF Science and Technology Center, Working on #climate, #water and #ecology, born at 335ppm, views my own
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 President @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
🎓 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/
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
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Professor at Columbia. Computer Vision and Machine Learning
Robotics/Perception Prof at Georgia Tech; Chief AI Officer at Verdant Robotics. Stints at Skydio, B*8, Reality Labs, Google Research. https://dellaert.github.io
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
Google Fellow working on #ClimateChange and #AIforScience.
I'll post links to interesting technical papers, etc.
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
Dad, aspiring Seattleite, ML engineer
CS Prof at UC Irvine, CTO/Cofounder at Envive AI
Work on evaluation and robustness of LLMs
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Automatically tweets new posts from http://statmodeling.stat.columbia.edu
Please respond in the comment section of the blog.
Old posts spool at https://twitter.com/StatRetro
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
Associate professor at the University of Chicago. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Academy Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer.
Web page https://users.aalto.fi/~ave/
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
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
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
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.
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.
Assoc. Prof in CS @ Northeastern, NLP/ML & health & etc. He/him.
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/
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
natural language processing and computational linguistics at google deepmind.
Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Advisor. Fellow @ellis.eu. Ex Helsing. Ex AWS. Living in absurdism.
http://www0.cs.ucl.ac.uk/staff/c.archambeau/
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Probabilistic ML researcher at Google Deepmind
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
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Ph.D. student in Stats and ML at the University of California, Irvine.
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)
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
https://linktr.ee/micheleguindani
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/
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Statistics/Machine learning PhD at UC Irvine
Professor of Computing Science at the University of Glasgow.
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Research on AI and biodiversity 🌍
Asst Prof at MIT CSAIL,
AI for Conservation slack and CV4Ecology founder
#QueerInAI 🏳️🌈
Machine learning researcher, working on causal inference and healthcare applications
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
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
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
HCI Prof at CMU HCII: thecoalalab.com
Research on:
- technologies to augment human thinking and learning
- participatory & responsible AI
- human-AI interaction
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/
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications.
https://bayesian.org
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
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh.
https://homepages.inf.ed.ac.uk/omacaod
Assistant prof at Columbia IEOR developing AI for decision-making in planetary health.
https://lily-x.github.io
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
Computer Vision and Earth observation to support environmental sciences.
Asst. Prof. at University of Copenhagen & Pioneer Centre for AI
formerly: PhD at ETH Zürich
#CV #ML #EO #AI4EO #SSL4EO #ML4good
🔗 langnico.github.io
I'm a PhD student at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in computer science working on AI for Earth. My goal is to use AI for good and make the Earth a better place.
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
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
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Assistant Professor, University of Waterloo. I try to help people make informed decisions with data. #HCI, #Viz, applied #AI/#ML.
Professor, Department of Psychology and Center for Brain Science, Harvard University
https://gershmanlab.com/
senior principal researcher at msr nyc, adjunct professor at columbia
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Weather and climate scientist focused on extreme events like floods, droughts, & wildfires on a warming planet. www.weatherwest.com
Machine Learning Prof @UCSanDiego, #Physics-Guided #AI, MIT TR-35 Innovator. Website: roseyu.com
Postdoc researcher @ University of California Irvine, LEAP NSF-STC - Columbia University
Machine Learning & Generative modeling for Climate Science
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
