Aaron Schein
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@jungholee.bsky.social
PhD student in Statistics & Data Science at CMU Causal inference, machine learning, nonparametric statistics with applications to social science jungholeestat.github.io
@pedramh.bsky.social
Professor of climate science + applied math, University of Chicago @UChicago. AI for Climate Initiative (AICE). Extreme weather, scientific ML, climate change & turbulence.
@mattivihola.bsky.social
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference. https://iki.fi/mvihola/
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@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]
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@neurobongo.bsky.social
VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur.
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@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/
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@tiago.skewed.de
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ IT:U, Austria Head of the “Inverse Complexity Lab”. @invcomplexity.skewed.de https://skewed.de/lab
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@eliweinstein.bsky.social
Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, chemistry, biophysics Incoming assistant professor of chemistry at the Technical University of Denmark (DTU). https://eweinstein.github.io/
@emcfowland.bsky.social
HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.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
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@emmapierson.bsky.social
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/
@dabelcs.bsky.social
Researcher @ Google DeepMind and Honorary Fellow @ U of Edinburgh. RL, philosophy, foundations, AI. https://david-abel.github.io
@backpropper.bsky.social
Research Scientist at Google DeepMind | Building Gemini guabhinav.com
@kat-heller.bsky.social
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
@robinryder.bsky.social
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
@yoshitomo-matsubara.net
Research Scientist at Yahoo! / ML OSS developer PhD in Computer Science at UC Irvine Research: ML, NLP, Computer Vision, Information Retrieval Technical Chair: #CVPR2025 #ICCV2025 Open Source/Science matters! https://yoshitomo-matsubara.net
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@lauraknelson.bsky.social
Associate Professor @ UBC computational sociology machine learning is feminist You only have to look at the Medusa straight on to see her. And she’s not deadly. She’s beautiful and she’s laughing. www.lauraknelson.com
@manueltonneau.bsky.social
PhD candidate @oiioxford.bsky.social NLP, Computational Social Science @WorldBank manueltonneau.com
@chrisbail.bsky.social
Duke Professor directing https://scai.duke.edu, https://sicss.io & https://polarizationlab.com. Author of Breaking the Social Media Prism.
@nathanwaniorek.bsky.social
PhD student in applied math at UChicago. Working on inverse problems, data assimilation, and scientific machine learning. https://sites.google.com/uchicago.edu/nathan-waniorek
@dattalab.bsky.social
Neuroscientist @Harvard asking how sensation and action are entwined to facilitate cognition. Natural behavior, circuits for scents and movement, curiosity, biological and artificial intelligence
@reirab.bsky.social
CS Faculty at Mila and McGill, interested in Graphs and Complex Data, AI/ML, Misinformation, Computational Social Science and Online Safety
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@hannawallach.bsky.social
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her. One photo a day since January 2018: https://www.instagram.com/logisticaggression/
@romanklinger.de
professor for natural language processing, head of BamNLP @bamnlp.de 📍 Duisburg, Stuttgart, Bamberg #NLProc #emotion #sentiment #factchecking #argumentmining #informationextraction #bionlp
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@spmontecarlo.bsky.social
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