Law Prof. GWU, Tech & Justice. Author: “Your Data Will Be Used Against You,” “The Rise of Big Data Policing,” “Why Jury Duty Matters,” and “The Law of Law School.”
Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference.
Research site: stablemarkets.netlify.app
#statsky
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
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
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
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)
Assistant Prof of Computer Science and Data Science at UChicago. Research on visualization, HCI, statistics, data cognition. Moonlighting as a musician 🎺 https://people.cs.uchicago.edu/~kalea/
Associate Professor @Harvard SEAS. Information theorist, but only asymptotically.
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and 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
http://timvieira.github.io/blog
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
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/
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences
https://keyonvafa.com
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
🎓 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/
official Bluesky account (check username👆)
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