We are on a mission to democratise science for everyone. Join our Discord at https://discord.gg/RH2jgT3vtQ, or contact us at exec@universetbd.org.
Senior Space Editor, Ars Technica. Likes rockets.
Postdoc at Uppsala University studying M-dwarfs and eclipsing binary stars. Also: astronomy camps, music, languages, photography & board games.
From 🏴 - lives in 🇸🇪 - often found in 🇩🇪
nikkimiller.space | iayc.org | she/they
Astronomer here! I’m a Hungarian-American radio astronomer, alias /r/Andromeda321 on Reddit. Assistant professor at the University of Oregon
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack
Our in depth reporting on innovation reveals and explains what’s happening now to help you know what’s coming next.
Find our journalists on Bluesky: https://bsky.app/starter-pack/technologyreview.com/3lar7fofuwl2n
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
The world's largest and most popular platform for people-powered research. A collaboration between the Adler Planetarium, University of Oxford, University of Minnesota-Twin Cities, and friends. Learn more and join: https://linktr.ee/the.zooniverse
Arsenal Supporter, Astrophysicist
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
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, 🐎 🎶
Professor of Biostatistics
Vanderbilt University School of Medicine
Expert Biostatistics Advisor
FDA Center for Drug Evaluation and Research
https://hbiostat.org https://fharrell.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
— Founder of Our World in Data
— Professor at the University of Oxford
Data to understand global problems and research to make progress against them.
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
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
AI policy researcher, wife guy, fan of cute animals and sci-fi, executive director of AVERI, Substacker
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Recent writing at https://grantslatton.com/latest
Formerly built the world's fastest filesystem at AWS, now the fastest spreadsheet at http://rowzero.com
Professor of Statistics, Monash University, Australia. FAA, FASSA. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
Statistical mechanic, secular Bayesian.
Prof. of Complex Systems and Network Science @ IT:U, Austria
Head of the “Inverse Complexity Lab”.
@invcomplexity.skewed.de
https://skewed.de/lab
NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
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
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Always pondering startups, ML, Rust, Python, and 3D printing.
Independent ML researcher consulting on LMs + data.
Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him.
Personal blog: https://state.smerity.com
Posts about Bayesian statistics, Monte Carlo, etc from a Reader and Deputy Head of Department (T&L) at Warwick Statistics. Personal account. https://richardgeveritt.github.io/
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/
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
Statistician at Sydney University.
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
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)
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Sweden-based, Germany-adjacent, Scottish-Australian Mathematician. Mathematician who pretends to be a physicist sometimes (convincing nobody). Maker of dubious memes, and exploring my new home near the arctic circle (Luleå).
Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Professor of Statistics at Stockholm University.
25+ years of Bayes and still excited.
Big fan of Julialang, Observable and Linux.
🇮🇹+🇸🇪
Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
LightOn, President
GenAI for enterprise, LLMs
Former Nuclear and Rocket Scientist
Nuit Blanche writer (Compressive Sensing, Matrix Factorizations to DL). Paris Machine Learning meetup cofounder
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
Machine learning, open source software, C++. https://indii.org
Researcher in machine learning
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference.
https://iki.fi/mvihola/
Associate Professor at MIT EECS, LIDS.
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
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/
Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu
Approximate Bayesian at Bristol University
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference
🌐 https://zhidi-lin.github.io/
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
https://linktr.ee/micheleguindani
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
Columbia Business School Professor. Works on the data economy, macro and finance. Finally moving my comments to somewhere more civilized.
Law Prof, Contracts, AI, Defamation
I am an Assistant Professor of Technology at NYU Stern School of Business. PhD from UMD Smith School of Business. Passionate about Tech. ಕನ್ನಡಿಗ, भारतीय. I write about digital platform policies at platformpolicyresearch.substack.com.
Professor NYU Stern: former Obama CEA Senior Economist for tech & innovation; research on AI, robots, entrepreneurship, strategy
Senior Economist @Thinktank Kraka. External associate professor @UniCPH.
Focus: Tech/AI, labour markets and inequality. ☎️+4528897123
Economist at DIW Berlin, University of Copenhagen, and Berlin School of Economics
Research on Digitilization, Health Care, and Industrial Organization
https://www.hannesullrich.com
faculty.som.yale.edu/jasonabaluck
Associate Prof. of Economics @utaustin. Director http://learningcollider.org. @NBERpubs affiliate. Co-Chair @mit @jpal edtech. Schmidt Futures Innovation Fellow. www.peter-bergman.com.
Views/opinions are my own.
Behavioral economist at NUS Singapore and N.1 Institute for Health 🇸🇬 Interested in digital health, behavior change, and public policy. https://gyulaseres.weebly.com/
Behavioral Scientist.
Lately, I've been thinking (and posting) about: AI+Psych, Personal Finance, Consumer Behavior. Civically engaged, so I occasionally post about that too.
Prof studying digital platforms, marketing, and labor markets at Boston University. Convener of nerds and semi-competent climber.
Assistant professor of economics @ UVA
basilhalperin.com
Econ | Cogsci | AI
Psychology & Economic Theory Postdoc @ Harvard Economics / HBS
http://www.zachary-wojtowicz.com
Professor at Rotman, University of Toronto. Economics of digital technology and AI.
Associate Prof at University of Toronto. Digitization scholar studying firm use of technology, productivity, strategy, and the future of work.
Heterogeneous Agents, Deep Learning based Solution Methods and Macro-Finance.
Econ AP at UNC Chapel Hill
He/ him.
building chatgpt at openai
prev quizlet, twitter, mit
ankushg.com
data science @ openai
here for data, transit, urbanism, nyc
Research Scientist at Google DeepMind. ಕನ್ನಡಿಗ.
Past: Researchoor, Algorithms team at OpenAI & with Juergen Schmidhuber.
Engineering at OpenAI. Formerly working on Fuschia at Google
