Aaron Schein
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
@adinawilliams.bsky.social
NLP, Linguistics, Cognitive Science, AI, etc. Job currently: Research Scientist (NYC) Job formerly: NYU Linguistics, MSU Linguistics
@malmaud.bsky.social
@bleilab.bsky.social
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
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@lchoshen.bsky.social
🥇 #NLProc researcher 🥈 Opinionatedly Summarizing #ML & #NLP papers 🥉 Good science #scientivism
@ninoscherrer.bsky.social
Research Scientist at Google | Interested in rigorous evaluations, cognitive science, multi-agent systems and causality | Prev: Vector Institute, Mila, Max Planck Institute, ETH Zurich https://ninodimontalcino.github.io/
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
@maxilse.bsky.social
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
@mrdrozdov.com
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
@dccsillag.xyz
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp. dccsillag.xyz
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@sameer-singh.bsky.social
CS Prof at UC Irvine, CTO/Cofounder at Spiffy AI Work on evaluation and robustness of LLMs
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@apsrjournal.bsky.social
The premier scholarly research journal in political science. Read here: http://bit.ly/3fJQsoQ
@psrm.bsky.social
Political Science Research and Methods: The journal of the European Political Science Association, edited by John Griffin, published by Cambridge University Press
@thejop.bsky.social
The JOP is the flagship journal of the SPSA, published by the University of Chicago Press. Editors-in-Chief: Timothy Hellwig & Timothy Nokken. https://www.journals.uchicago.edu/toc/jop/current
@poqjournal.bsky.social
Public Opinion Quarterly is an international, high-impact journal sponsored by the American Association for Public Opinion Research (AAPOR) academic.oup.com/poq
@sebastianraschka.com
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D). Blogging about AI research at magazine.sebastianraschka.com.
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@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
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@sherlockpholmes.bsky.social
Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪. 🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@wkhuber.bsky.social
Statistician, Computational Biologist R | Bioconductor | Images are data https://www.huber.embl.de Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@swetakar.bsky.social
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
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@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 🗽
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@jpillowtime.bsky.social
comp neuro prof @ Princeton brains, machine learning, & postmodern angst pillowlab.princeton.edu
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@itsneuronal.bsky.social
Asst Prof at NYU + Flatiron Institute Computational + Statistical Neuroscience https://neurostatslab.org/
@vesteinns.bsky.social
PhD student at the University of Copenhagen Visiting researcher at ETH Zurich '24-'25 ELLIS student doing NLP, CV, ML https://vesteinn.is
@ajpseditor.bsky.social
The AJPS is the official journal of the MPSA, committed to significant advances in knowledge and understanding of citizenship, governance, and politics, and to the public value of political science research. Co-Editors: Kathleen Dolan, Jennifer L. Lawless.
@mpsa.bsky.social
The Midwest Political Science Association (MPSA) was founded in 1939 and is dedicated to the advancement of scholarship in all areas of political science. Visit our website at www.MPSAnet.org to learn more.
@shwartzzzivravid.bsky.social
Faculty Fellow and Assistant Professor at NYU's Center of Data Science