PhD candidate in Deep Learning at the University of Trieste, Italy. Formerly visiting at @ucl.ac.uk. Representations, robustness, empirical methods, kernels, physics & neuroscience. Quantitativist, overenthusiastic tinkerer.
https://ballarin.cc/
Bioinformatics Scientist @ BioNTech
#bioinformatics #AI #immunology #cancer #vaccines
Opinions my own, if you don't like them I have others
AI Research Scientist || PhD in machine learning || Ensembles, probabilistic machine learning, recurrent neural networks || https://echostatements.net
ELLIS PhD student in Machine Learning at PML group - Aalto University, Finland.
Collaborative AI, Computational Rationality, Theory of Mind, and more.
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
ELLIS & IMPRS-IS PhD student at University of Tübingen
Working on Bayesian Deep Learning in Philipp Hennig's group
Website: https://joannasliwa.github.io
Facilitating global collaboration in the computational sciences.
neuromatch.io
🚀Postdoc in Politecnico di Milano and EIEE/CMCC
🔍 I do research on AI for Vision, Graphics, Economics & Climate Change.
💻 https://carlosrodriguezpardo.es
Madrid ↔️ Milano
💻 BSc Computer Science. 🧬 Bioinformatics & Comp Bio | 📈 Math Stats. 🐧 GNU/Linux enthusiast.
🌐 https://phrafsanjani.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.
I read
MS Robotics at UPenn GRASP Lab
RL + Robot Learning
https://anhquanpham.github.io/
CS PhD student @UW-Madison, interested in statistical machine learning and optimization
Previously Applied Math/Stats @UChicago
PhD student @MIT EECS & CSAIL. Working on principled and scalable methods in ML & LLM.
she/her/hers
sustcsonglin.github.io
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
AI @ OpenAI, Tesla, Stanford
Post Doc at IIT in Genoa, working on Optimization for Machine Learning and on the expressivity of LLMs
PhD @ucberkeleyofficial.bsky.social | Past: AI4Code Research Fellow @msftresearch.bsky.social | Summer @EPFL Scholar, CS and Applied Maths @IIITDelhi | Hobbyist Saxophonist
https://lakshyaaagrawal.github.io
Maintainer of https://aka.ms/multilspy
PhD student in machine learning at TU Wien.
learning theory | graphs
https://maxthiessen.github.io
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
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/
PhD student in CS @ ETHZ / MPI-IS
Theory of ML evaluation https://flodorner.github.io/
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
PhD from @sorbonne-universite.fr now postdoc at IIT. Doing machine learning to study physical and chemical transformations(He/Him)
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
PhD Student at the University of Toronto. Interested in deep learning theory.
https://www.cs.toronto.edu/~mousavi/
@ellis.eu Ph.D. student at @pontilgroup.bsky.social. Working on Causality, Uncertainty Quantification, and Learning Guarantees.
PhD student in NLP at Cambridge | ELLIS PhD student
https://lucasresck.github.io/
PhD Candidate @UvA_Amsterdam @QUvALab @ELLISforEurope
ELLIS Ph.D. student focusing on the intersection of ML and control of legged systems with symmetries at @iitDLSLab, #RoMi, and @pontilgroup
#SomosUNAL
PhD Student at @pontilGroup.bsky.social
Working on Convex Optimization and ML
PhD student at the University of Amsterdam | ex-intern at Microsoft Research and Samsung AI Research | Cohere For AI Community Researcher
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
Senior AI researcher at BSC. Random thinker at home.
Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content.
Sign up to my newsletter: kareemcarr.substack.com
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC.
> https://sites.google.com/corp/view/rltheoryseminars
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents.
Associate Professor at Polytechnique Montréal and Mila. 🇨🇦
academic.sologen.net
CS grad student @ Mila Quebec | Ex-Visiting Researcher @ ServiceNow Research | NLP, GNN, Network Science
Postdoc at FAIR labs
Working on diffusion models
⛷️ 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
PhD student @ UPenn
Research: Continual Learning, Optimization
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur
⚲ Paris, France 🔗 abursuc.github.io
AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Speech • Language • Learning
https://grzegorz.chrupala.me
@ Tilburg University
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
Primarily Robotics and AI. Distinguishing hype-notism from plausibility one press release at a time. rodneybrooks.com/blog people.csail.mit.edu/brooks
AI + security at AISLE | Stanford PhD in AI & Cambridge physics | scientific progress
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
machine learning and artificial intelligence | University of Chicago / Google
Machine learning researcher. Professor in ML department at CMU.
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
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
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
PhD student at the University of Pennsylvania. Prev, intern at MSR, and Meta FAIR. Interested in reliable and replicable reinforcement learning, robotics and knowledge discovery: https://marcelhussing.github.io/
All posts are my own.
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab
Computer Vision, Computational Neuroscience
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
Prof at EPFL
AI • Climbing
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Researcher in machine learning
Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Director, Princeton Language and Intelligence. Professor of CS.
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Postdoctoral researcher working on RL in POMDP at McGill and Mila - gsprd.be
Chief AI & Digital Officer
All posts reflect my personal opinions.
Faculty Fellow and Assistant Professor at
NYU's Center of Data Science
@ellis.eu PhD student at @pontilgroup.bsky.social and @uclofficial.bsky.social | Reinforcement Learning and Generalization
Physicist, working on machine learning for dynamical systems | reinforcement learning | machine learning for science | transfer learning for atomistic potentials | statistical learning theory & optimization.
