Michael Yin
PhD Candidate || UBC Computer Science
HCI for Games / XR / Meaning-Making Experiences
I enjoy running, hiking, and indie games!
@duri-long.bsky.social
Assistant Professor in Communication Studies at Northwestern. HCI, Human-Centered AI, AI literacy, co-creativity. Director of Creative Interfaces Research + Design Studio. durilong.com
@phuembeli.bsky.social
AI Lead at Axiomatic AI. Former Extropic Staff Scientist, MentenAI Quantum Computing Researcher, EPFL QML researcher, ICFO QML PhD candidate.
@nels.dev
Research intern at Google, CS PhD candidate at University College London, exploring (outdoor) collaborative mixed reality at the intersection of #HCI, #GenerativeAI, and #CSCW | Previously at Niantic Labs, Microsoft Research, IBM, TNO Research nels.dev
@ilyena.bsky.social
Lecturer (Assistant Professor) at the University of Glasgow creating interactive and internet-enabled systems for animals. www.ilyena.com
@saadhassan.bsky.social
Assistant Professor at Tulane University. Researches Accessible Computing, HCI, and Computational Social Science. he/him. Website: saadh.info
@vmateevitsi.com
Assistant Computer Scientist at Argonne National Laboratory. Adjunct Research Professor at UIC. Research interests: HPC, Raytracing, Rendering, Computer Graphics, AR/VR/XR, Digital Twins. Ex Greek National Team Ice Hockey Player
@ramboldio.bsky.social
phd student @ Hasso-Plattner-Institute, HCI Baudisch lab working on architecture-scale personal fabrication using big yellow tubes https://rambold.io
@jordiponsdotme.bsky.social
Music, audio, and deep learning research at Stability AI ~ Building bridges between audio signal processing wisdom and deep learning. artintech.substack.com www.jordipons.me
@austenangell.bsky.social
Designer, Artist, Tech, www.Modernedge.com; #DogLover; #Motorcyclist; Chair Em #IDSA; FIDSA; ExBoard design_museum & CoDesign; https://austenangell.substack.com/
@elonjet.net
ElonJet | Tracking Elon Musk’s Jet by @jacks.grndcntrl.net Also follow @spacexjets.grndcntrl.net
@jdesignresearch.bsky.social
Journal of Design Research. Published by Inderscience. Emphasising human aspects of design through integrative studies of social sciences and design disciplines. Skeets by @reneewever.bsky.social (editor) Incl journal updates & vacancies in design academia
@preetivyas.bsky.social
Ph.D. Candidate @UBC_CS; @mcgillu Grad; talk to me about Affective Haptics, Emotion Regulation, Affective Health, Human-centered Design, Intentional HCI, HRI https://www.cs.ubc.ca/~pv
@rockpang.bsky.social
CS PhD @UWCSE | hci, human-ai, accessibility, the societal impact of tech | Prev @MSFTResearch Intern, @Macalester Website: https://homes.cs.washington.edu/~ypang2/
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@dandychigginss.bsky.social
Comp Science; Graduating soon Looking for internship in data science/analyst roles Valorant and Impractical jokers fan; Murr is my favourite joker
@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/
@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
@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.
@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
@allendowney.bsky.social
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
@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
@cameron.pfiffer.org
AI systems, financial economics PhD, ATProto fan, man with tattooed legs Signal: https://signal.me/#eu/AQ1ajwHwgg0rabcRsdtkm9UYpdg52axiruSTFMmrFy0LR4Ds8pdH25jzjoTc2bGu
@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/
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@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
@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
@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 📩
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@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
@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