The materials for tomorrow, today.
We are the Matter Lab at the University of Toronto, led by Professor Alán Aspuru-Guzik. Our group works at the interface of theoretical chemistry with physics, computer science, and applied mathematics.
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Comp. sci. prof. @ American University, Washington DC. AI & games researcher with miscellaneous other interests. https://www.kmjn.org/
Responsible AI & Human-AI Interaction
Currently: Research Scientist at Apple
Previously: Princeton CS PhD, Yale S&DS BSc, MSR FATE & TTIC Intern
https://sunniesuhyoung.github.io/
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
Associate professor at Osaka University.
Working on computer vision, fairness, art.
www.noagarciad.com
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Probabilistic machine learning and its applications in AI, health, user interaction.
@ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
Principal Scientist @LilaSciences. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Prof at UniMelb. I'm a computational cognitive scientist studying human inference, learning, information systems, culture, and (mis/dis)info. Nerd & opinionated loudmouth in Oz, originally from America, citizen of both. Parent of two. 🏳️⚧️ perfors.net
International Conference on Learning Representations https://iclr.cc/
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
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning.
sheev13.github.io
Prime Minister of Canada and Leader of the Liberal Party | Premier ministre du Canada et chef du Parti libéral
markcarney.ca
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
Assistant Professor at UFSCar | @CMU_Stats PhD | Statistics | Machine Learning | Data Science | @CNPq_Oficial Research Fellow | Dad
https://rafaelizbicki.com/
Write about football. Talk about football. Not a child.
Math Assoc. Prof. (on leave, Aix-Marseille, France)
Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0
Teaching Project (non-profit): https://highcolle.com/
Get every sports story that matters.
Guy who makes stuff sometimes
Co-Host of the Waveform Podcast
YouTube.com/davidimel
Davidimel.com
Prints: Davidimel.darkroom.com
Old:
Senior Reporter at Android Authority, Systems Engineer at Intel
I skeet about new stuff but also old stuff
Cohost of Golic and Golic on FanDuel Sports Network | ND ‘12
@mikegolicjr on IG
https://www.youtube.com/@mgolicjr
Professor at UT Austin. Research in ML & Optimization. Always rethinking how I teach. Amateur accordion player. Committed bike commuter. Online classes in English & Greek. https://caramanis.github.io/
Foundation Models, Bayesian Optimization, reinforcement learning, and AutoML. Uni of Birmingham.
Share latest AI news and trends.🏳️🌈
Uma plataforma de comunicação para te deixar bem informado. Newsletter diária, canal no YouTube, podcasts, cursos.
🏆 Assine o Meio Premium: https://nomeio.com.br/ig_meiopremium
👩🏫 Prof Statistics at KAUST
📚 Author Geospatial Health Data http://bit.ly/bookgeo & Spatial Statistics for Data Science http://bit.ly/bookspatial
#rstats #rspatial #geohealth #HBTransform 🚢🐧
🌐 https://www.paulamoraga.com/
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Everything Lamarvelous🎱 and #RavensFlock 💜🤍🖤
Live game updates
The Bluesky account of the David R. Cheriton School of Computer Science. On a computer near you at https://cs.uwaterloo.ca/
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
PhD student at UCL. Working on Gaussian Processes. I love everything mathy, videogames, and language. 🇧🇷
He/Ele/Él
Also as @spectraldani@sigmoid.social
⛷️ 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
Research scientist, computer vision and robotics for agriculture. she/her. Largely not checking this account or posting about work at the moment.
https://amytabb.com/
Close-ish to Washington, D.C., USA.
Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/
Chief Analytics Officer, FTN Fantasy. ESPN NFL writer. Former radio DJ. Founder of Football Outsiders, creator of DVOA, All-Pro/MVP voter.
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning.
📍 Edmonton, Canada 🇨🇦
🔗 https://webdocs.cs.ualberta.ca/~machado/
🗓️ Joined November, 2024
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Researcher in machine learning
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Prof at EPFL
AI • Climbing
Research Scientist at ByteDance. Ex @UCLA, @PKU
AI4Science, Diffusion Models, Optimizers, RL, LLM
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Research Scientist at Meta Paris
Code generation, math, optimization
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
Associate Professor at Princeton
Machine Learning Researcher
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
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
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Lead Strategist for Waveform Podcast with MKBHD & occasional code thing do-er. Here to make the world cooler.
Working on @cool-supply.com
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Founder & executive & community builder & organizer & researcher
ML Collective (mlcollective.org)
Google DeepMind
rosanneliu.com
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference
🌐 https://zhidi-lin.github.io/
a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Data Scientist | Bayes | Causal reasoning | Python + Julia | Ex-academic | #MMT
drbenvincent.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.
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
Postdoctoral Research Scientist in Statistics at Columbia University
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Associate Professor (Clemson) | AIMS Lecturer (South Africa) | Author: "Visual Algebra" (forthcoming) | YouTuber | First Gen | Homesteader | Dad to Ida & Felix | 🔱
I like computers.
assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
PhD student at TU Berlin, working on generative models and inverse problems
he/him
💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Statistician at Sydney University.
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io
Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
full-time ML theory nerd, part-time AI-non enthusiast
PhD candidate in Computational Social Choice at LIP6 - Sorbonne Université
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer.
I blog (throw bricks into the wind) @ www.nelsontang.com
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, 🐎 🎶
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
