John Cherian
PhD student at Stanford Statistics who dabbles in modeling elections for The Washington Post
@dfern.eth.xyz
Mainly on Farcaster! (https://warpcast.com/dfern.eth) Software Engineer interested in chip design, compchem/bio, crypto & DWeb tech.
@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.
@dsi-uchicago.bsky.social
A field-defining intellectual hub for data science research, education, and outreach at the University of Chicago. Follow us on IG & Tik Tok: DSI_UChicago
@awjaffe.bsky.social
Currently: Data Science @ Stripe. Previously: Neuroscience PhD @ HMS, alum @ Stanford BioE. Also a musician. she/her
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@iraglobusharris.bsky.social
PhD student at U Penn, interested in bridging responsible and robust algorithm design and practice.
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@epsilonrational.bsky.social
Studies Algorithmic game theory and online learning University of Pennsylvania/ Simons institute https://www.seas.upenn.edu/~eshwar/
@alroth.bsky.social
Stanford economist. I have a market design blog: https://marketdesigner.blogspot.com/ Lately I’m interested in #controversial markets
@annieulichney.bsky.social
Statistics PhD student @UCBerkeley http://aulichney.github.io/
@pras17.bsky.social
PhD Student in the Stanford CS Theory group, studying computational social choice. https://web.stanford.edu/~pras1712/
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@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
@alanjeffares.bsky.social
Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin alanjeffares.com
@rui--carvalho.bsky.social
Assistant Professor at Durham University. AI4Science https://www.ruicarvalho.org/
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@sangmichaelxie.bsky.social
Research Scientist at Meta GenAI / LLaMA. ML + NLP + data. Prev: Stanford CS PhD, Google Brain/DeepMind
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@edwinkite.bsky.social
Resident at Astera Institute. Planetary science professor, U. Chicago. Mars terraforming, Early Mars, rocky exoplanets. https://sseh.uchicago.edu/
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@djierardi.bsky.social
HPC, primarily for computational chemistry @ DEShawResearch. Anton! Previously: Tanner EDA (later Mentor Graphics, now Siemens); professor @ USC CS; Princeton, Cornell CS, Yale.
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@5harad.com
Professor of Public Policy at Harvard, co-director of @comppolicylab.bsky.social, applying a computational approach to public policy, including to issues in education, healthcare, and criminal justice. https://5harad.com
@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/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@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
@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
@jondr44.bsky.social
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io