Josue Rodriguez
• Data Scientist in EdTech
• PhD in Quant Psych
https://josue-rodriguez.github.io
@easystats.bsky.social
Official channel of {easystats}, a collection of #rstats 📦s with a unifying and consistent framework for statistical modeling, visualization, and reporting
@aidangcw.bsky.social
Psychopathology | Personality | Quant Methods Professor of Psychology and Psychiatry | Eisenberg Family Depression Center | University of Michigan Editor | Journal of Psychopathology and Clinical Science Founder | www.smart-workshops.com
@michaelheadrick.bsky.social
Technology (product/ux), art (ceramics) and psychology at Teachers College, Columbia University https://www.michaelheadrick.com/
@spydergrrl.bsky.social
Outdoorsy UXer. Workshop design coach & consultant. Lives with anxiety. Runs on espresso and Star Wars. She/her. 🇨🇦🏳️🌈 Cohost of CanUX. Host of the Government of Canada UX Network. Best known for popularizing the phrase "UX Theatre". https://spydergrrl.com
@michelle-phillips.bsky.social
🎵Senior Lecturer in Music Psychology & Head of Enterprise, Royal Northern College of Music UK 🧬 Research: audiences, live music, music & Parkinson’s, music & neuroscience 🎓PhD Uni of Cambridge 📊Accountant 🎷Saxophonist Www.WhyHumansNeedMusic.com
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@lambdaphdp.bsky.social
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
@aloctavodia.bsky.social
Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@mschauer.bsky.social
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]
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation
@colcarroll.bsky.social
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
@guyvdb.bsky.social
🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@arviz.bsky.social
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang www.arviz.org
@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
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@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
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@sbi-devs.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
@treichelt.bsky.social
postdoc @ uni oxford. machine learning. climate. statistics. web: treigerm.github.io
@ellieyhc.bsky.social
PhD student @mit_csail | Programming Systems for AI/ML | don’t ask how many cups of coffee I’ve drank
@mlbowers.bsky.social
PhD student at MIT studying program synthesis, probabilistic programming, and cognitive science. she/her
@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.
@ravenwater.bsky.social
Accelerating innovation, solving problems through high-performance compute, computational engineering entrepreneur, inventor of Domain Flow
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@jjcmoon.bsky.social
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
@aseyboldt.bsky.social
@baxtereaves.bsky.social
CEO @ Redpoll. Probabilistic AI/ML researcher. Bayesian nonparmetrics. Cognitive Science.
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@statwonk.bsky.social
Dad, Partner. Statistician-Econometrician-Engineer. AI Developer. Decision theory. Game theory. #autisticpride #9 at Zapier, first DS
@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
@willieneis.bsky.social
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