@stippe87.bsky.social
Former theoretical physicist, now data scientist. Bayesian, PyMC addicted. Science outreach enthusiast and dataviz lover. Skeptik Mostly in Turin (IT) https://thestippe.github.io/statistics
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@ellieyhc.bsky.social
PhD student @mit_csail | Programming Systems for AI/ML | don’t ask how many cups of coffee I’ve drank
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@spinkney.bsky.social
I mostly post about probabilistic programming stuff, statistics, and R/Julia/Python (in that order). I'm a volunteer Stan developer and citizen scientist (papers on arxiv). Currently my day job is doing marketing analytics.
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@dgmacarthur.bsky.social
Genomics, big data, open science, diversity. Director of the Centre for Population Genomics, focused on building a more equitable future for genomic medicine. Opinions my own.
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@danilojrezende.bsky.social
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/
@fermatslibrary.bsky.social
A platform for illuminating academic papers. We annotate and share a paper every week.
@pmelsted.bsky.social
Professor @hi.is in CS, head of rna seq data analysis at decode genetics (views are mine). Bioinformatician, epistemic trespasser, &c. ps. I hate GTF files
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Assistant Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@sharepatch.bsky.social
Formerly @TBRreviews Reader-reviewer who loves hiking and multiple other interests. I hope to share interesting insights into book reviews, travel, business support, innovation, skills development and digital health.
@brent-p.bsky.social
genomics, bioinformatics rust, nim, python, go, c, bash, awk, english
@yun-s-song.bsky.social
Professor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.
@markmccarthy985.bsky.social
Bluesky newbie. Twitter exile. Previously Professor of Diabetes in Oxford, now heading human genetics at Genentech. Living the California dream. Views my own. #YNWA
@anthonygitter.bsky.social
Computational biologist; Associate Prof. at University of Wisconsin-Madison; Jeanne M. Rowe Chair at Morgridge Institute
@koaning.bsky.social
Prefer common sense over hype. Employed at @marimo.io, building calmcode.io and dearme.email. Also blogs over at https://koaning.io.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@neomechanica.bsky.social
THIΣ STORY IS ΔEDICATED TO ALL THOΣE CYBERPUNKS WHΘ FIGHT AGAINΣT INJUSTICE AND CORRUPTION EVERY ΔAY OF THEIR LIVES Reposting from the original Twitter account.
@alextisyoung.bsky.social
Asst. Prof. @ UCLA Human Genetics. Statistical geneticist & part of the SSGAC. Mendelian inheritance is the most important natural experiment. alextisyoung.github.io
@lelandmcinnes.bsky.social
A Mathematician dabbling in Data Science, especially unsupervised learning and data exploration. UMAP, HDBSCAN, PyNNDescent, DataMapPlot. (He/Him)
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@brinda.eu
‖ Permanent Researcher / INRIA Start. Faculty @ INRIA Rennes 🇫🇷 ‖ BioInfo/CompBio: algorithms, genomics, pathogens & rapid diagnostic of antibiotic resistance《 https://brinda.eu | https://github.com/karel-brinda 》
@oweissb.bsky.social
@robmok.bsky.social
Computational Cognitive Neuroscientist at the Center for Information and Neural Networks (CiNet), Osaka. Category learning to concept representation and everything in between (semantic/episodic memory) & cognitive ageing in models & brains.
@avehtari.bsky.social
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. Also in Mastodon: https://bayes.club/@avehtari
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI
@clintomics.bsky.social
Human genomicist, Assoc Prof @UVA. Deconvolving complex cardiovascular diseases using systems genetics and single-cell omics.
@cgs.bsky.social
I like math, physics, computers (sometimes), baking, restaurants. Mostly trying to make two tiny amazing humans into full size amazing humans. Google DeepMind.
@kthrnmyr.bsky.social
Historian of Technology & Science delving into the intricacies of practices, knowledge, infrastructures and protocols in digital infrastructure & commons. Director Digital Infrastructure Insights Fund (infrastructureinsights.fund)