L’ANR, l’agence française de la recherche sur projets. Opérateur de France 2030.
The French national research agency #ANR #AgenceRecherche #France2030
www.anr.fr
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/
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
AI @ OpenAI, Tesla, Stanford
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
PhD student at Cornell, interested in 3D generation, reconstruction; prev Princeton '22
https://genechou.com
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
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.
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
wharton stats phd — ml theory, ml for science
prev: comp neuro, data, physics
working with Edgar Dobriban and Konrad Körding
also some sports (esp. philly! go birds)
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics
https://chanb.github.io/
Associate Professor at CS UWaterloo
Machine Learning
Lab: opallab.ca
Organic machine turning tea into theorems ☕️
AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better
Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨
Organizing for democracy.🗽
www.rlaw.me
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science
[used to be @yiannis_entropy at the other place]
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
To mine own opinions be true
Research scientist @ Google Deepmind. Prev: postdoc @ UW, PhD UCSB, BSMS ASU
Evals, metrics, multilinguality, multiculturality, multimodality, and (dabbling in) reasoning
100% Product of public schools
https://saxon.me/
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi
vishaal27.github.io
Sr. ML Engineer | Keras 3 Collaborator | @GoogleDevExpert in Machine Learning | @TensorFlow addons maintainer l ML is all I do | Views are my own!
Generative AI @GoogleDeepMind.
🤖 Generative Models of Video #Veo2 #Veo #Phenaki
💼 Past: Character Animation @AdobeResearch
Assistant Prof @sbucompsc @stonybrooku.
Researcher → @SFResearch
Ph.D. → @ColumbiaCompSci
Human Centered AI / Future of Work / AI & Creativity
Google DeepMind. Generative models for video: Veo, Phenaki.
AI/generative artist. Writes her own code. Absolute power is a door into dreaming.
data/ml/ai @ runway in 🗽
formerly spent time in startups, biggish tech, and physics labs
www.ethanrosenthal.com
Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his)
https://laurent-dinh.github.io/
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
I do SciML + open source!
🧪 ML+proteins @ http://Cradle.bio
📚 Neural ODEs: http://arxiv.org/abs/2202.02435
🤖 JAX ecosystem: http://github.com/patrick-kidger
🧑💻 Prev. Google, Oxford
📍 Zürich, Switzerland
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
http://blog.christianperone.com, Machine Learning, Computer Science and Math. Staff ML Research Engineer working with imitation learning and planning for Autonomous Vehicles. London/UK.
Nashville, TN. Computational physicist into ML/AI to help humans' music production, tech & ethics, representation learning. Prof. @Belmont University. https://scotthawley.com
senior research scientist at Google | author of DreamBooth
https://natanielruiz.github.io/
AI Researcher at the Samsung SAIT AI Lab 🐱💻
I build generative models for images, videos, text, tabular data, NN weights, molecules, and now video games!
Research Scientist at Google DeepMind. Working on Gemini reasoning models.
PhD from UofT and Vector Institute
www.paulvicol.com
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
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
Code, AI, and 3D printing. Opinions are my own, not my computer's...for now. Co-creator of DALL-E 2. Researcher @openai.
Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Researcher at Google DeepMind. I make LLMs go fast. I also play piano and climb sometimes. Opinions my own
messing up with gaussians
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
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning.
grigorybartosh.github.io
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
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/
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Generative modeling person
https://conordurkan.com
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
Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer.
Generative Vision (Stable Diffusion, VQGAN) & Representation Learning
🌐 https://ommer-lab.com
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
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/
Professor in computer vision and robotics at the Université Bourgogne Europe
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
Software engineer and currently a PhD student in passive microwave remote sensing.
I like pretty things and understanding how things work. Computer Vision, Graphics, Physics, and Tinkering. http://peter.mcevoy.se
Associate Professor of English and Creative Writing at Dartmouth College. Author of The Birth of Computer Vision (Minnesota), Critical Digital Humanities (Illinois), and co-author of Moonbit (punctum) and Perceptron (punctum). American Literature, ML/AI/DH
#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
Postdoc @ Brown DSI
VP R&D @ ClearMash
🔬 Passionate about high-fidelity numerical representations of reality, aligned with human perception.
https://omri.alphaxiv.io/
#nlp #multimodality #retrieval #hci #multi-agent
Professor in Computer Vision at the University of York, vision/graphics/ML research, Boro @mfc.co.uk fan and climber
📍York, UK
🔗 https://www-users.york.ac.uk/~waps101/
Prof. @notredame.bsky.social. IEEE Computer Society PAMI TC Chair Emeritus. Computer Vision Foundation CTO. Artificial Intelligence + Digital Humanities + History of Technology. wjscheirer.com
Johns Hopkins CS PhD student.
#MedicalRobotics #ComputerVision #DeepLearning #Guitar
MSc CS @ ETH Zurich (CV, CG, ML/AI)
Currently learning about point cloud registration for robotics.
📍Zurich
🚀Postdoc in Politecnico di Milano and EIEE/CMCC
🔍 I do research on AI for Vision, Graphics, Economics & Climate Change.
💻 https://carlosrodriguezpardo.es
Madrid ↔️ Milano
Postdoc @ RWTH Aachen & Eindhoven University of Technology | Computer Vision
Computational Photography Researcher @ Adobe, previously Princeton PhD: https://ilyac.info
I sometimes do a regular photography: http://instagram.com/_ilya_c
Our lab: https://light.princeton.edu/
Computer Vision, Robotics, Machine Learning. CV/ML research engineer at Skydio. Prev. PhD in CV/Robotics at RPG in Zurich.
28🇫🇷 Researcher and AI Coordinator at @ignfrance.bsky.social. Interested in unsupervised learning, remote sensing, satellite imagery and scene understanding.
🏳️🌈 he/him
Head of the Computer Vision lab; TU Delft.
- Fundamental empirical Deep Learning research
- Visual inductive priors for data efficiency
Web: https://jvgemert.github.io/
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 President @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
PhD student at @fau.de. Part of @cogcovi.bsky.social. I’m working at the intersection of computer vision, computer graphics, and machine learning. I like kernels.
mweiherer.github.io
computer vision phd student @ tti-chicago
part-time @ adobe research
www.mudtriangle.com
he/him
Ph.D. student @FAU.de - LGDV / LIKE | Computer Vision 🤖| Digital Horticulture 🌳🍒
http://meyerls.github.io
CS PhD Candidate @Charite | Previously CS @TUDA | Deep Learning for Medicine, Computer Vision & Multimodal Learning
PhD student, SSL for vision @ MetaAI & INRIA
tim.darcet.fr
research on computer vision, teaching, and movies.
tweets in TR, EN
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604
Interested in how computers can learn and see.
Unsupervised multimodal representation of a learning researcher.
https://www.pisoni.ai
Associate Professor @ University of Bologna
Depth estimation and related stuff
CS PhD @Virginia Tech, Vision GenAI
Was working on making sense of images,
Now working on images making sense
https://tunahansalih.github.io
Research eng @csm_ai // prev everyday robots @Google, @TU_Muenchen @Cambridge_Uni and other robot adventures 🇩🇪🇬🇧🇺🇸
Thinking about 3D ML, intelligent tool use and the intersection of games and robotics. 🕹️👾
PhD Student @ University of York, UK. I do research on inverse rendering, neural fields, human reconstruction and generative models.
Prof at Georgia Tech
https://faculty.cc.gatech.edu/~judy/
Machine Learning and Computer Vision Researcher
PhD Student @FAU/@TUM | Extended Reality 🥽 | Computer Vision 🤖 | 🏳️🌈 | she/her
Prof. of Computer Science, Robot Vision
IRISA, Université de Rennes
PhD student at the University of Copenhagen
Visiting researcher at ETH Zurich '24-'25
ELLIS student doing NLP, CV, ML
https://vesteinn.is
Robot Perception & Learning | Research Intern @AllenAI | PhD candidate, PEARL lab, TU Darmstadt with Georgia Chalvatzaki | https://pearl-lab.com/people/snehal-jauhri
PhD Student at Ommer Lab (Stable Diffusion)
Trying to understand motion...
🌐 https://nickstracke.dev
Research Scientist at Huawei Noah's Ark Lab, London. Currently working on generalizable novel view synthesis.
https://thomas-tanay.github.io/
