Tech lawyer. Generates plausible bullshit in 6 minute increments. More active on https://x.com/lefthanddraft
assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Narrative games for a more civilized age. Making "The Knight & the Maiden", an adventure game about knights, tourneys, princesses and intrigue!
Consider subscribing to my newsletter!
https://starkravingsanegames.com/newsletter.html
#dkgame #indiedev
Managing Director of Single Family Housing Inventory at BlackRock. God forbid a woman collect things.
PhD student at Vanderbilt University in MASI Lab/VALIANT
All opinions are my own
hi i'm @annierau.bsky.social i love wikipedia! dm submissions if you want :-)
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
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
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/
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
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
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
#AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· Prof Uni Tuebingen ML4Science BCCN tue.ai
· Adjunct MPI IS · Fellow ellis.eu
· currently hiring postdocs and PhD students
· sometimes goes for a run
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.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
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Research scientist, Inria. Statistical machine learning.
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
PhD student in the Machine Learning Group, Cambridge.
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Researcher in Bayesian machine learning
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer.
I blog (throw bricks into the wind) @ www.nelsontang.com
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io
Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
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
Statistician at Sydney University.
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
PhD student at TU Berlin, working on generative models and inverse problems
he/him
Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
Stats, ML and open-source
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/Stuttgart area)
sethaxen.com
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com
Chess, Poker, and Physics
phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
Navigating life with smiles, skills, and an eye on better.
UD prof, inventor, app developer, entrepreneur.
https://causact.com
https://persuasivepython.com
https://emergencyhealthfix.com
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
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
Probabilistic Programming and Bayesian Modeling in Python
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
“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]
Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/
Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
PhD Student in Machine Learning at CMU. yewonbyun.github.io
PhD-ing at CUHK-Shenzhen. Building evolutionary coding agents at Dria. #AI4Science community leader at alphaXiv
richardcsuwandi.github.io
(Tab)PFNs, TrivialAugment etc.
