@yugahikida.bsky.social
Doctoral researcher at Aalto University Simulation-based Inference, Probabilistic ML yugahikida.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
@approxbayesseminar.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@alexbarnett.bsky.social
assistant prof at McGill / memory / fMRI / epilepsy / opinions are my brain's / he / him
@monjalexander.bsky.social
Associate professor in statistics and sociology at the University of Toronto. Demographer from Australia.
@lisakramer.com
Financial economist musing on behavioural finance, behavioral economics, emotion, markets, risk, pensions, humans, & animals. Professor of Finance, University of Toronto Joint Sponsors, UPP Board of Directors, UTAM & We Animals http://www.lisakramer.com
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@daphna.bsky.social
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@linstonwin.bsky.social
senior lecturer in statistics, penn NYC & Philadelphia https://www.stat.berkeley.edu/~winston
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@minecr.bsky.social
she/her professor at duke university + developer educator at posit cat videos = instant smiles https://mine-cr.com https://fosstodon.org/@minecr
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@tracysweet.bsky.social
She/Her ~ Statistician/Quant Methodologist at UMD ~ CMU Stats Alum ~ Researches racial equity, social networks, machine learning, Bayesian things ~ Mom of 3 kids, 2 dogs, 1 cat
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@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.
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@eloquenti.com
Supporting researchers and authors with professional editing 📝 grant writing 💰 manuscript proofreading👩💻 book editing📚 medical writing✍️ scientific consulting👩🏻🔬 author services 📖 👉Visit www.eloquenti.com
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@maxkw.bsky.social
professor at university of washington and founder at csm.ai. computational cognitive scientist. working on social and artificial intelligence and alignment. http://faculty.washington.edu/maxkw/
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@gag-j.bsky.social
Researcher @ Google DeepMind. Graduate @ IIT Bombay. Works on GenAI Foundations, Currently focused on Efficiency https://gag-j.github.io
@gortizji.bsky.social
Research Scientist at @GoogleDeepMind. Past: PhD at EPFL, intern at Google, ELLIS student Oxford
@backpropper.bsky.social
Research Scientist at Google DeepMind | Building Gemini guabhinav.com
@ptshaw.bsky.social
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle. http://ptshaw.com
@zacharywu.bsky.social
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
@douillard.bsky.social
distributed (diloco) + modularity (dipaco) + llm @ deepmind | continual learning phd @ sorbonne
@l32zhang.bsky.social
Research Scientist @ Google DeepMind. Previously @ OpenAI. Building AGI. 🤖
@samvelyan.com
Research Scientist @ Google DeepMind. Previously Meta (FAIR), Reddit, PhD UCL, MSc Oxford. samvelyan.com
@jparkerholder.bsky.social
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)