Trapped in a Python container. Building Spark on K8s Infra. Founder and CTO expat.
Seattle // In the woods
https://dacort.xyz
Honk If You ♥️ SaaS
🥾 I'm the bootstrapped founder of Paperbell (>1m ARR)
🚪 Exited MeetEdgar
✍️ Blogging at https://lauraroeder.com/
🇬🇧 Based in Brighton, UK
Reproducible bugs are candies 🍭🍬
I like programming too much for not liking automatic programming.
Software Engineering and Data Leader @ HubSpot. O’Reilly author. Enjoyer of dogs and video games
Stuff I created:
https://www.amazon.com/dp/1492087831/
https://www.dataliftoff.com
Applied Scientist in Industry. Previously UCSD. Princeton PhD.
Follow me for recreational methods trash talk.
www.rexdouglass.com
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
CS PhD candidate at Princeton. I study the societal impact of AI.
Website: cs.princeton.edu/~sayashk
Book/Substack: aisnakeoil.com
Partner Research Manager at Microsoft Research NYC. AI, Economics, Decision Science.
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Columnist and chief data reporter the Financial Times | Stories, stats & scatterplots | john.burn-murdoch@ft.com
📝 ft.com/jbm
Digital humanities, data science, AI, eating, professor of Data & Decision Science and English. Coauthor #DataFeminism w/ @kanarinka. PI #AIAInetwork. Views my own.
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
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
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
LM/NLP/ML researcher ¯\_(ツ)_/¯
yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
STS researcher who likes to look at things sideways. Founded Data & Society.
Topics: Census | Youth | Data | Society
Professor of Communication, Cornell
https://made-not-found-by-danah-boyd.ghost.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/
The AI community building the future!
I build tools that propel communities forward
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
ASA Fellow; #rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project
Web: www.datavis.ca
GitHub: github.com/friendly
Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Investigative data journalist
Bloomberg News
"CTRL + F" and find out
https://inspectelement.org
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
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
PhD @ MIT. Prev: Google Deepmind, Apple, Stanford. 🇨🇦 Interests: AI/ML/NLP, Data-centric AI, transparency & societal impact
PhD Student in Machine Learning at CMU.
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Postdoc in AI at the Allen Institute for AI & the University of Washington.
🌐 https://valentinapy.github.io
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Postdoc at UW NLP 🏔️. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at Berkeley, Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. lucy3.github.io
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/Stuttgart area)
sethaxen.com
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #IDSurveillance
Views mine -> https://statsepi.substack.com/
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Member of technical staff @periodiclabs
Open-source/open science advocate
Maintainer of torchrl / tensordict / leanrl
Former MD - Neuroscience PhD
https://github.com/vmoens
Unsupervised multimodal representation of a learning researcher.
https://www.pisoni.ai
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
The FT’s team of reporters, statisticians, illustrators, cartographers, designers, and developers work with colleagues across our newsrooms, using graphics and data to find, investigate and explain stories.
https://www.ft.com/visual-and-data-journalism
networks, contagion, causality
faculty at MIT
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
Collection Analysis Librarian, Iowa State University; Research Associate, ScholCommLab; PhD candidate, CWTS.
Data science, bibliometrics, python, Open Access, academic publishing, causal inference, Learned League.
Views my own. More at eschares.github.io
UMass Amherst, Initiative for Digital Public Infrastructure, Global Voices, Berkman Klein Center. Formerly Center for Civic Media, MIT Media Lab.
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science
https://fedeadolfi.github.io
On the job market!
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!
Researching computer vision stuff at Stack AV in Pittsburgh. Photography @ishankhatri.com
Metascience and innovative methods to improve population health
Co-Editors-in-Chief: @andreatricco.bsky.social and @davidit.bsky.social
Jclinepi.com
Published by Elsevier
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform
@ Charité in #Berlin
Likes: improving science & improv comedy
#EpiSky #Epidemiology #HigherEd #AcademicSky
I can be described as a multi-agent artificial general intelligence.
www.jzleibo.com
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
asst prof of computer science at cu boulder
nlp, cultural analytics, narratives, communities
books, bikes, games, art
https://maria-antoniak.github.io
social psychology ▪︎ metascience ▪︎ philosophy of science ▪︎ higher education
Professor at Durham University, UK. He/him.
Website: https://sites.google.com/site/markrubinsocialpsychresearch/
Substack: https://markrubin.substack.com/
Data journalist at @data.ft.com. These days mainly thinking about elections data and how to use automation and AI in news. #ddj #dataviz
PhD student at UConn | matthewbjane.com
Digital Curator @BLDigiSchol at British Library. EB Secretary @adho-org. Access + UX for digital heritage, AI/machine learning and crowdsourcing in cultural heritage / GLAM / digital humanities. She, they. More at https://www.miaridge.com. Can't see DMs!
Building generally intelligent agents - ML, RL, Robotics
@nfinite.ai
Tech Lead @ Knowledge Commons/MSU | Lit and Publishing Research Prof @ Uni of London, Birkbeck | Music on tici taci records | My books: https://books.eve.gd
PhD candidate @ Stanford NLP
https://myracheng.github.io/
Lecturer Psych & Crim @kingscollegelondon.bsky.social | Deception Detection; Emotions; JDM | Open Science; R; Bayes | @ukrepro ReproTea & StatsTea | #statstab | 🇷🇴 🇬🇧🌍
Stats blog: https://mzloteanu.substack.com/
Sterling Professor of Social and Natural Science at Yale University. Sociologist. Network Scientist. Physician. Author of Apollo's Arrow; Blueprint; Connected; and Death Foretold. Director of the Human Nature Lab: https://humannaturelab.net
I work with communities on citizen science for safer, fairer digital environments. Founder: Citizens & Technology Lab. Assistant Prof, Communication, Cornell · Guatemalan-American · Ultracyclist
🐘@natematias@social.coop
natematias.com
citizensandtech.org
Editorial data scientist working on computational investigations for the visual and data journalism team at the Financial Times.
🌐 olihawkins.com
Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience
Thoughts & opinions are my own and do not necessarily represent my employer.
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Certified Rude.™️
Not really here any longer, come see me at Masto: @prietschka@mastodon.social
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
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary.
ramon.astudillo.com
ML Engineering @adobe
Previously: @huggingface
Data Visualization Enthusiast | Latent Space Explorer
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her)
https://roma-patel.github.io
O'Reilly Author, "Unifying Business, Data, and Code" (2024), and Apress author, "The Language of Innovation" (2025)
graphics/data journalist on the @financialtimes.com visual storytelling team
work: https://www.ft.com/sam-learner
projects: https://samlearner.com/projects
signal: samlearner.79
philosopher of medicine and social sciences, clinical ethicist, pedagogy enthusiast, plant lady
'pretty decent at puns'
Looking for philosophy, medicine, public health, economics, methods, meta-research, history, and bioethics people!
She/Her
Apache {DataFusion PMC}, Database Internals
Co-Founder and chief duck-herder at MotherDuck. Likes small data and clever hacks. He/him
Senior document signer @ Docusign, prev: lead risk manager @ Alameda Research
neuroscientist. all things data and offsec
x: https://x.com/xedseraph
blog: https://www.xara.one/
ML/AI @ Electric Plant Co, prev ML/RecSys at Spotify. A nervous little punk boy.
Building Astral: Ruff, uv, and other high-performance Python tools, written in Rust.
Data scientist. Former politico, founder, and bureaucrat. Occasional cool professor.
Math and software and music
Sr PM @ Microsoft Advertising (Bing Ads) focused on BI & Data Infra. Mostly reading & posting about Mariners, Power BI, Tech, and Politics.
Engineering leader. modernleader.is
