PhD student @ EdinburghNLP | undergrad+masters @ Georgia Tech
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
We study the mathematical principles of learning, perception & action in brains & machines. Funded by the Gatsby Charitable Foundation. Based at UCL. www.ucl.ac.uk/life-sciences/gatsby
Researcher in HCI+ML at the University of Glasgow. Views of my own.
I do math and code.
Wrote: "Probability Theory with a View Toward Machine Learning"
Developed: SigAlg — measure-theoretic probability in Python
https://johnmyers-phd.com/
Machine learning researcher
@Google DeepMind. My opinions do not necessarily represent my employer. Prefer email over DMs.
https://scholar.google.com/citations?hl=e&user=ghbWy-0AAAAJ
https://www.cs.toronto.edu/~gdahl/
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine.
Opinions my own.
https://danilorezende.com/
AI4science research, density functional theory @ Microsoft Research Amsterdam. PhD on generative modeling, flows, diffusion @ Mila Montreal
Deep learning, computational chemistry, generative modeling, AI for Science. Principal Research Manager at Microsoft Research AI for Science.
Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
DPhil student at the University of Oxford and Nuffield College | Researching the intersection of Statistics, Econometrics & Machine Learning
Founding Researcher @ Stealth Startup & Inria & MVA. Ex: Llama @AIatMeta; Gemini and BYOL @GoogleDeepMind. LLMs, RL, alignment.
machine learning researcher @Apple | PhD from @CoML_ENS | speech, ml and cognition.
CS PhD student at UCSB
AI for healthcare / LLM writing assistants / Image Editing
kenantang.github.io
PhD Neurotech @ Imperial College London
🇿🇦 in 🏴
ML Researcher, Qualcomm AI Research
Postdoc, University of British Columbia
Vector Institute
PhD, TU Darmstadt
ML / Geosciences. PI @ Helmholtz Centre Hereon.
Breakthrough AI to solve the world's biggest problems.
› Join us: http://allenai.org/careers
› Get our newsletter: https://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
Scientist at DKFZ and EMBL in Heidelberg, loving stats, genomics and genetics. @OliverStegle@genomic.social. For group news see @steglelab.bluesky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
PhD student at the University of Tübingen, member of @bethgelab.bsky.social, @uni_tue and @MPI_IS (IMPRS-IS). LLM multi-turn post-training and evaluations.
4th year PhD Candidate @ UCI working w/ Padhraic Smyth and Sameer Singh
Scientist in Artificial Intelligence and the Decision Sciences.
https://uli-research.com/About_Me.html
Professor in Psychology at Warwick in the UK. Interested in computational models of human behaviour/behavior.
2nd year PhD in Stats @ Warwick, broadly interested in Computational Statistics and Probabilistic Machine Learning.
ENS Paris-Saclay’s MVA & Télécom Paris Graduate.
Massive Formula 1 fan, sports enthusiast. 🇫🇷🇲🇺
Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Professor for ML and AI at Lamarr Institute / @tu-dortmund.de. Working on AutoML and Tabular Data. All opinions are my own.
Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai
cvg.cit.tum.de
Machine Learning@University of Bath, UK.
Lecturer at the University of Edinburgh, interested in probabilistic and machine learning methods for modeling and analyzing neural activity.
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
ML Scientist @Uber in🗽🚕
Working on RecSys /CausalML 📈🪄
PhD Stats. BS in Math. 👨💻📚
Running long distances, reading long books.
Find me here dravesb.github.io
Associate Professor at Aalborg University (Copenhagen Campus - Denmark). Probabilistic Machine Learning.
https://andresmasegosa.github.io/
Postdoc passionate about robotics and AI-driven simulators.
University of Tübingen, AI center
Max Planck Institute for Intelligent Systems, IMPRS-IS Alumni
https://andregeist.github.io
PhD student @ University of Edinburgh | Looking for Posdoc Opportunity | Interested in Planning, Reasoning, Long Context | Multimodal AI | 🔗 https://anilbatra2185.github.io/
Incoming Assistant Prof, University of Alberta. Research Fellow at Amii. Currently, postdoc fellow the Broad Institute.
Professor at Aalto University working on Bayesian filtering and smoothing, SDEs, etc. ELLIS Fellow, Leader of AIX with Finnish Center for AI (FCAI).
PhD candidate @ University of Edinburgh
Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging
https://teresa-klatzer.github.io/
PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
PhD ML and vision, University of Edinburgh
Monocular 3D reconstruction and unsupervised methods
Research scientist at Google DeepMind. Creating noise from data.
Research scientist at Google in Zurich
http://research.google/teams/connectomics
PhD from @mackelab.bsky.social
PhD at 19 |
Founder and CEO at @MedARC_AI |
Research Director at @StabilityAI |
@kaggle Notebooks GM |
Biomed. engineer @ 14 |
TEDx talk➡https://bit.ly/3tpAuan
Machine learning researcher
Videos about maths & ML, simulations, and other random things
https://www.youtube.com/@KuriousChad
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Assistant Professor in Machine Learning @ University of Edinburgh.
PhD in Mathematics. Ex ETH Zurich.
See https://vab.im/vacancies/
ELLIS PhD student in Machine Learning @Aalto University, Finland
Working on Bayesian experimental design, causality, human-in-the-loop models
Maldivian
nazaal.com
AI Prof at TU Darmstadt, Founding Co-Director Hessian.AI, DFKI, AAAI/EurAI/AAIA/ELLIS Fellow, AAAI24 Ass. PC CoChair, Fmr. PC CoChair UAI, ECML PKDD, Invest. @Aleph__Alpha, Fmr. AI Column German Newspaper Welt (am Sonntag)
🇿🇦 | Fairness in AI | University of Oxford | Deep Learning Indaba | Internships: Google DeepMind || Microsoft Research
https://siobhanmackenziehall.com/
EEML Organizer, ML researcher
PhD student in NLP at Cambridge | ELLIS PhD student
https://lucasresck.github.io/
PhD in Robotics @ University of Edinburgh 🏴 Safe Autonomous Driving Systems
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/
Academic in trustworthy AI at the University of Edinburgh -- https://fengxianghe.github.io/
Professor in Probabilistic Machine Learning @ Lancaster University.
Homepage: https://chris-nemeth.github.io
I am a science correspondent for BBC News. I post mostly about science, sometimes science journalism and very occasionally, Spurs. Please share any hot stories, ideas and opinions on all three and anything else currently inspiring you.
messing up with gaussians
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.
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvin-schmitt.com
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗 GitHub github.com/bayesflow-org/bayesflow
💬 Forum discuss.bayesflow.org
Machine learning prof at U Toronto. Working on evals and AGI governance.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
PhD student, University of Helsinki
Working on Bayesian computation
https://pipme.github.io/
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
ELLIS PhD Student @ JKU supervised by Sepp Hochreiter
Working on Predictive Uncertainty in ML
Assistant Professor in Natural Language Processing (NLP) at the University of Warwick, UK.
Personal Webpage: https://warwick.ac.uk/fac/sci/dcs/people/u1898418/
Postdoc at Imperial College London | PhD student in Computational Neuroscience at the University of Edinburgh
Sr Manager / Lab Lead @ Spotify
andreasdamianou.com
PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment
Research Scientist @ Google DeepMind
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
Reader in Computational Social Science at the University of Edinburgh. he/him
Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Professor of Computing Science at the University of Glasgow.
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
Assistant Professor in Artificial Intelligence
KU Leuven
Belgium
ELLIS PhD at University of Edinburgh and MPI-Informatics
https://zpdu.github.io/
HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
PhD student working on simulation-based inference under the supervision of @glouppe .
Machine Learning Scientist @ Find & Order. Taming Gaussian Processes to respect physics.
PhD ML & Medical Image Analysis @ Imperial College
PhD student at Cambridge University. Causality & language models. Passionate musician, professional debugger.
pietrolesci.github.io
Bayesian stuff @ Eindhoven University of Technology
Student at the University of Edinburgh.
ML Theory, Adversarial ML, Optimization, Efficient ML
Curious.
Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science
I choose #OpenSource and #OpenScience .
Solving problems in #LifeScience #Genomics #RadioAstronomy
Read Mathematics for Machine Learning at https://mml-book.com
PhD researcher in Machine Learning at Imperial College. Visiting at University of Oxford.
Interested in all things involving causality and Bayesian machine learning. Recently I have also been interested in scaling theory.
https://anish144.github.io/
