@briantrippe.bsky.social @briantrippe.bsky.social Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
Data Science Institute @dsi-uchicago.bsky.social A field-defining intellectual hub for data science and AI research, education, and outreach at the University of Chicago
https://datascience.uchicago.edu
@zghahramani.bsky.social @zghahramani.bsky.social 
Andres Masegosa @andresmasegosa.bsky.social Associate Professor at Aalborg University (Copenhagen Campus - Denmark). Probabilistic Machine Learning.
https://andresmasegosa.github.io/
Fredrik Johansson @frejohk.bsky.social Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
Ferenc Huszár @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
Vincent Fortuin @vincefort.eurosky.social Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Tim Vieira @xtimv.bsky.social http://timvieira.github.io/blog
Keyon Vafa @keyonv.bsky.social Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences
https://keyonvafa.com
Vincent Conitzer @conitzer.bsky.social AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There."
https://www.cs.cmu.edu/~conitzer/
Martin Wattenberg @wattenberg.bsky.social Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Ahmad Beirami @abeirami.bsky.social stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
Derek Beaton @derek--beaton.bsky.social So early to Blue Sky they don't even allow underscores. I like beer, data, and multivariate blah-blahs. 2x Guinness world record holder in nonsense (5 person half and full marathon)
Blake Richards @tyrellturing.bsky.social Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
Jeffrey P. Bigham @jeffreybigham.com Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Christopher Manning @chrmanning.bsky.social Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Jascha Sohl-Dickstein @jascha.sohldickstein.com Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Michael Oberst @moberst.bsky.social Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Beff Jezos @beff.bsky.social e/acc 
kipply @kipp.ly worshipping the shinto god of reality
kipp.ly
Max Hodak @maxhodak.bsky.social Reality engineer
Joshua Loftus @joft.bsky.social Random wanderer, toddler parent, famous fitness influencer
Statistics & Data Science Asst Prof at LSE (machine learning, causality, fairness, interpretability, ethics). First gen grad. Unschooled -> math @ WMich & Rutgers -> stats PhD @ Stanford
Clément Canonne @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.
Dallas Card @dallascard.bsky.social Assistant professor at https://si.umich.edu/ working in computational social science, machine learning, and NLP | https://dallascard.github.io
Rowan Zellers @rowan.bsky.social ai research @ thinking machines . realtime video+voice. i like trains and bikes. sometimes I climb rocks and throw pottery.
Sam Bowman @sleepinyourhat.bsky.social AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
Alane Suhr @suhr.bsky.social Assistant Prof, UC Berkeley EECS, research on language, language use, and language technologies
I am not a language model.
Sebastian Raschka (rasbt) @rasbt.bsky.social ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
Arvind Satyanarayan @arvind.bsky.social Asst Professing at MIT CSAIL. Data visualization, ML interpretability, accessibility, cognitively convivial information.
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
Ana Marasović @anamarasovic.bsky.social Asst prof @ University of Utah · NLP · she/her 🇭🇷
Peter Hull @instrumenthull.bsky.social Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV
https://sites.google.com/site/aboutpeterhull/home
Paul Hünermund @p-hunermund.com Professor of Empirical Economics & Data Science at TU Munich | Heilbronn Data Science Center (HDSC) | Co-founder of causalscience.org
http://www.p-hunermund.com
Karl Rohe @karlrohe.bsky.social NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Dean Eckles @eckles.bsky.social networks, contagion, causality
faculty at MIT
Dan Larremore @danlarremore.bsky.social Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute | LarremoreLab.github.io
Founder | CevianLabs.io
Sean J Taylor @seanjtaylor.com Data Science, Causal Inference, Economics, Statistics and Machine Learning
Two joys in life:
[1] Learning something interesting about the world
[2] Telling people about it
Model Measurement @OpenAI
Ben Golub @bengolub.bsky.social economics and computer science professor at Northwestern
bengolub.net
social and economic networks
originally from Ukraine
John D. Cook @johndcook.bsky.social Mathematician, data privacy consultant
See also @johndcook.mathstodon.xyz.ap.brid.gy
Pedro Sant’Anna @pedrosantanna.bsky.social Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Sherri Rose @sherrirose.bsky.social Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity
drsherrirose.org
Lab manual: stanfordhpds.github.io/lab_manual
Personal account
Karandeep Singh @kdpsingh.bsky.social Faculty at UC San Diego. #rstats. Creator of Tidier.jl #julialang. #GoBlue. Views own.
David Pfau @davidpfau.com So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com- A Arthur Gretton @arthurgretton.bsky.social
Konrad Kording @kordinglab.bsky.social @Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Brandon Stewart @bstewart.bsky.social Associate Professor of Sociology, Princeton
http://brandonstewart.org/
Jason Hartford @jhartford.bsky.social DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
Alejandro Schuler @aschuler.bsky.social Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
angela zhou @angelamczhou.bsky.social assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Nathan Kallus @kallus.bsky.social 🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
Gemma Moran @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 🗽
Shir Raviv @shirraviv.bsky.social Postdoc at the Data Science Institute, Columbia University | Nonresident fellow at the ISPS, Yale University | Studying the politics of AI usage.
https://www.ravivshir.net
Michael Knaus @mcknaus.bsky.social Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
Susan Athey @susanathey.bsky.social Economist
Oded Rechavi @odedrechavi.bsky.social Epigenetic Inheritance, Neuroscience & anything biology-related
https://www.odedrechavilab.com/
q.e.d: https://www.qedscience.com
Organizer of “The Woodstock of Biology”
TED: https://shorturl.at/myFTY
Huberman Lab Podcast: https://youtu.be/CDUetQMKM6g
Dennis Ulmer @ACL26 @dnnslmr.bsky.social Postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam.
Previously PhD Student at NLPNorth at the IT University of Copenhagen, with internships at AWS, Parameter Lab, Pacmed.
dennisulmer.eu
Maarten van Smeden @maartenvsmeden.bsky.social statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
tal yarkoni @talyarkoni.com sciolist. mostly made of ice cream
Maria Glymour @mariaglymour.bsky.social Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
Berk Ustun @berkustun.bsky.social Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
shira mitchell @shiraamitchell.bsky.social survey statistician at blue rose research 🏕
Shosh Vasserman @shoshievass.bsky.social IO economist + assistant prof at @StanfordGSB. I use theory + data to study how risk, commitment and information flows interplay with (good) policy design.
shoshanavasserman.com
Edward McFowland III @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.
Edward H. Kennedy @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
Iván Díaz @idiaz.bsky.social Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Aaron Roth @aaroth.bsky.social Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Dan Roy @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.
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
Jacob Eisenstein @jacobeisenstein.bsky.social natural language processing and computational linguistics at google deepmind.