イラストレーターです四畳半が得意です
よろしくお願いします
No reuploading/No AI training
National Insider for NFL Network and www.nfl.com. Made seven cameos in the movie Draft Day.
Inquiries: shahob@william-raymond.com
https://link.me/rapsheet
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
Bayesian Statistician, Software Architect, and Data Scientist in the Gaming/Entertainment Industry | Bayesian Statistics, Experimentation, Decision Theory, Guitar | Former Political Scientist
https://www.ajordannafa.com/
IO economist at the Congressional Budget Office. Work on drug pricing, vertical contracting and innovation.
https://sites.google.com/site/christopherpadams/
Book: Learning Microeconometrics with R
New Book: Game Theory for Applied Econometrician
Principal Architect @posit.co, GP Composed Ventures, Co-founder Voltron Data. Open source: Apache Arrow, pandas, Ibis. "Python for Data Analysis" book
The Canadian voice for data scientists with a conscience. If you have a desire to stay at the forefront of technological innovation & positive social change, join us: dataforgood.ca
#dataforgood
🦬🏔️ @cuboulder.info science prof
Vis / HCI - Designing data for the public.
📊❤️ PI @informationvisions.bsky.social
Previously: Bucknell CS prof, Tufts CS PhD
🔗 https://peck.phd/
Cloud Developer Advocacy @ Google. AI/ML/Data, Blue Devil & Longhorn, wanna-be at home improvement. Opinions are my own.
Animator,illustrator,Artist JAPAN
https://x.com/yoneyamai
https://www.instagram.com/yoneyamai
Researching Al and Machine Learning in the Finance sector, conference speaker, co-author of The Al book
• Nerd about: tech | data | econ | education
• Mom to: teens | dog
• Adventures of: hiking | travel | music | wtf
• Community via: coffee | conversation
• Questionable: decisions | questions
• Words contain: typos | lists
asst prof of computer science at cu boulder
nlp, cultural analytics, narratives, communities
books, bikes, games, art
https://maria-antoniak.github.io
Principal Scientist @ MSFT AI for Good Lab
Applied AI for Sustainability, Conservation and Preservation
I post a lot of birds
📍 Houston, TX ✈️ Seattle, WA
🇧🇷🇺🇸 Supports:🏳️⚧️🏳️🌈
Principal Engineer. Created Data Contracts and wrote the book on it. Father of 2. Brewer of beer. Aphantasic.
Newsletter 👉 https://andrew-jones.com/newsletter
Dad. Son. Husband. Coder. Engg @ Microsoft. Software Researcher. ❤️ cooking and coffee. Rant+rave about technology. Midjourney journaler. Opinions and Typos my own.
Typescript developer and former nintendo ds game developer. Loves dogs, hates facism. Located in Hamburg
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Paid to do
p(b | a) p(a)
p(a | b) = —————————
p(b)
Data Scientist | Computational Psychologist | Devout Bayesian
https://bayesianbeginnings.com/
Data botherer and parkrun bore
Currently reading: Lessons
PhD student 🎓 in Statistics at Bielefeld University interested in doubly stochastic processes and their application to ecology 🦅, sports 🏈, and finance 📈.
Website: https://janolefi.github.io
GitHub: https://github.com/janolefi
Scientist, building cstructure.
Data Engineer, Recovering Academic, and Entrepreneur | bijilsubhash.io | Sydney, Australia
Researcher in machine learning
CEO of dataliteracy.com, author of nine books on data and AI including Avoiding Data Pitfalls and AI Literacy Fundamentals
CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
Dad, husband, teacher, coach, veteran. Governor of Minnesota. Working to move our state forward as #OneMinnesota.
https://amas.sh
data scientist but statistician at heart, linux, math, machine learning, ttrpgs, birds, professional wrestling, books, etc
Opinions about product management, technology news and inclusivity in tech. Diversity is about demographics, inclusion is about creating a sense of belonging.
programmer .Net, Typescript, React/Angular. data science, python, and fp enthusiast/hobbyist.
@nfl4th.com // @nflverse.com // https://www.nflfastr.com/
https://www.nytimes.com/athletic/author/ben-baldwin/
Data Science at OpenAI
Stanford GSB Economics PhD
NFL writer for the ringer/QB ranker/sometimes college basketball
Chart enthusiast and city data wonk.
Nothing I say, do, think, or am represents nor endorses any idea, organization, human, or human-adjacent anything, anywhere, ever.
DM me your graphs.
The product of too much SimCity and watching too much West Wing. Managing Director of Analytics
KPMG; former Chicago Chief Data Officer;
former Iowa Dept. of Education
Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social
https://sakana.ai/careers
Building Gemini/Gemma at Deepmind and generative models for 8+ years with PyMC crew. Formerly built rockets at SpaceX
Senior Principal Data Scientist, Moderna. Trying to follow Jesus.
Data Scientist | Bayes | Causal reasoning | Python + Julia | Ex-academic | #MMT
drbenvincent.github.io
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
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
New ideas daily.
https://linktr.ee/soreniverson
I host a podcast called Football 301 that’s been described as “…entertaining with a slightly degenerate charm…”
Who watches the film watchers?
It's always a good day for an elbow drop.
Is Butterbean OK?
Fantasy Football and NFL Draft for ESPN
Trends in Offensive Football
coachdancasey.com
defragmenting emotions
#HCI #PeerReview #SciPub
#toolsforthought #ResearchSynthesis
#OpenScience #MetaSci #FoSci
🔎 Research: peer review
🧑🏫 Teaching: Stats, DataViz
🐢 UMD: College of Info
🌐 PhD Candidate: Info Studies / HCI + Data
🏝️ OASISlab
I know how to talk with machines: Head of data science & AI, Coffee Lover
I know how to fight: Karate, wingtsun, aikido, Jiu-Jitsu
I know how to create: Amateur writer, TTRPG lovecraftian
I know how to parent: Feeding three hungry little gremlins
#spain
Shaping how we learn, teach & discover in the age of AI | Professor & Researcher @Georgetown exploring human-AI teaming | Advisor | Views my own
Building tools for AI datasets. 😽
Looking in AI datasets. 🙀
Sharing clean open AI datasets. 😻
at https://bsky.app/profile/hf.co
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Data nerd 🤓| interested in using AI/ML to solve business challenges 📊| passionate about tech & entrepreneurship
The official BlueSky account for FieldGulls.com, SB Nation's team site for complete coverage of the NFL's Seattle Seahawks!
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
Machine Learning tools for neuroscience @mackelab.bsky.social.
Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
• NPE, NLE & NRE
• amortized and sequential inference
• wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
🔗 https://github.com/sbi-dev/sbi
Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning.
sheev13.github.io
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference
🌐 https://zhidi-lin.github.io/
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?👌…)
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Probabilistic Programming and Bayesian Modeling in Python
“Machines take me by surprise with great frequency” A. M. T.
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
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]
Senior Associate Dean of Professional Degree Programs and Professor of Business Administration at the Darden School of Business
Applied Scientist | Math PhD | Open Source
PyMC Labs
https://juanitorduz.github.io
#dataviz enthusiast & interactive storyteller. Building visual essays, dashboards, and tech projects.
Pro sectors: electronics, semiconductors.
More at ThisIsJam.es
I run the Info Vis Group in Barcelona:
www.infovisgroup.org
Applied AI Scientist at Nixtla. Author of Time Series Forecasting in Python. I write hands-on articles and develop courses mostly around forecasting and data science in general.
LLMs and ratings at lmarena.ai
Esports stuff for fun:
https://cthorrez.github.io/riix/riix.html
https://huggingface.co/datasets/EsportsBench/EsportsBench
Probabilistic modeling and machine learning nerd
Social Psych PhD, quantitative methods
Data Scientist Manager, Comscore - Innovation Research Team.
Software writer, maker. Creator of several Ruby and JavaScript libraries.
Data quality & post training magic. Data Provenance Initiative. Platypus. Prev: Founding Research Scientist (Multimodal) @ Raive. MS @ BU ECE, BS @ UCLA.
Data person
Former fish squeezer
Python - R - Rust
Applied Scientist in Industry. Previously UCSD. Princeton PhD.
Follow me for recreational methods trash talk.
www.rexdouglass.com
Behavioral Data Scientist interested in experimentation, causal inference, and workflow.
On Bluesky to find Data Twitter
Bootstrapping a software company. In my free time I try to do things with data and statistics, or post random thoughts here.
Director, Statistics for Development Division, at the Pacific Community. Posts are personal views, and most likely to be about data and #rstats, maybe with bits of history, social science and philosophy thrown in. Blog is at https://freerangestats.info/.
ML engineer at Dropbox. Previously MIT, Google.
@lesniewski on Twitter.
Bringing people together to understand and combat the effects of environmental stressors on human health & performance. Based at The University of Edinburgh, but reaching out globally.
Chief Scientist for @berkeleyearth.org.
Physics PhD & data nerd. Usually focused on climate change, fossil fuels, & air quality issues.
Bayesian stuff @ Eindhoven University of Technology
ML Research Engineer - occasional posts on NLP, RL, ML, LLMs etc
Also occasional random stuff
For more AI&Tech content, check here www.luok.ai
🍎Apple Die Hard Fan｜ 苹果骨灰粉
🤖GenAI Observer ｜ GenAI观察者
👨🏻🎤Cutting Edge Tech Enthusiast ｜ 科技爱好者
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
