Assoc Professor of Strategic Management, University of Toronto; Chief Economist, Creative Destruction Lab Toronto; cofounder, AllDayTA; cofounder, NBER Innovation PhD Boot Camp. http://www.kevinbryanecon.com and @AFineTheorem on Twitter

Economics and Ethics, UMass Amherst

Austrian 🇦🇹 Economist 📈 Not an Austrian Economist Allen & Kelli Questrom Professor BU Questrom, NBER, ECGI & NBER https://florianederer.github.io/

Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern. Website: www.aleximas.com

Economist @BerkeleyHaas (He/Him) “Between stimulus and response there is a space. In that space is our power to choose our response…and our freedom” - Victor Frankl

Stanford economist: Professor of Political Economy; Business & Sustainability. GSB, SDSS, NBER, CEPR, UiO, TSE, 3ERC. https://www.gsb.stanford.edu/faculty-research/faculty/bard-harstad

Economics | Barnard | Columbia | Santa Fe Institute | http://www.columbia.edu/~rs328/ | https://rajivsethi.substack.com/ | https://tinyurl.com/shadowsofdoubt

Social scientist @ Columbia University | Formal Political Theory | Early memories: the fall of the Berlin Wall and that header by Claudio Caniggia | carloprato.com

Political economist, John Dewey Distinguished Service Professor at University of Chicago Harris School of Public Policy.

Theoretical Economist at the University of Pittsburgh https://sites.pitt.edu/~luca/

Economic Theorist at CMU

Will eventually grow up. Perpetually confused. Behavioral and information economics, experiments, and learning/memory. Lately, also 🇺🇦 topics Kharkivite/New Yorker andrewkosenko.com

Postdoctoral Fellow at Carnegie Mellon Social and Decision Sciences; Economics PhD from Stanford Econ

Economist at NYU and NBER. Biker: BMW 850GS, Vespa (Old World) & Bonneville T100 (New World). Olive and lemon trees. @Inter. FirstGen college.

Professor of Economics, University of Heidelberg http://oechssler.uni-hd.de/

Punster, math aficionado & economic theory spin maestro. I do game theory and information economics.

Professor at USC. Previously MIT, Wharton, WashU, LSE.

Paulistano, economist, immigrant. Marketing professor at the Kellogg School of Management.

bayesian persuasion, taylor swift, and yuzuru hanyu stan | happy free confused and lonely at the same time | phd and @nsf grf @mitecon | past @northwesternu

Professor, Columbia Business School. Organizational Economics & Strategy. On Sabbatical this year. Vo2 Max 55 ;)

Economist. Assistant Professor at Northwestern Kellogg.

Research Associate at Freie Universität Berlin and the Berlin School of Economics. Here for fun. https://www.gabriel-ziegler.com/

Paris based, experimental economics/decision theory inclined.

Studying accountability, national security, electoral accountability, political economy, tech & society, applied game theory @HarrisPolicy .

Indian-American. VP of Research & Chief Economist at Center for Public Enterprise. PhD Candidate at UMass Economics. Macro + Finance + Industrial Policy + Decarbonization + Grids + Investment https://publicenterprise.org/author/chirag/

Decision researcher; just enough of a psychologist and economist to be dangerous

Experimental & Behavioural economist INRAE Grenoble • Former President French Association of Experimental Economists • Scientific publishing measurement & reform • Experiments on food labeling - risk - choices • Rstats • Italian Food Police honorary member

PhD in Economics | Postdoc Researcher at University of Pisa | Affiliated Researcher at CIRCLE, Lund University | #Innovation #Networks #Sustainability

Economist at the University of Edinburgh, www.pawelgola.com

🎙️Actor and Polisci peep. #Toku fan and movie nerd #starwars #powerrangers #politics #anime #econ #climate Games are fun. You should play them 🕹️ Cohost/Producer - The Lost Cantina Podcast / Lore Party

Economist @ Institut für Mittelstandsforschung (IfM) Bonn, Research on topics concerning the German Mittelstand, risk, and insurance.

Economist. Professor @LSE SPP My webpage: https://sites.google.com/site/luisgaricano/ Substack (innovation, econ., Europe): SiliconContinent.com My book on the Euro is out on June 2025.

nomadic economist, Prague and Zurich https://home.cerge-ei.cz/steiner/

Microeconomist, Behavioral Economist, Author of "Misunderstandings: False Beliefs in Communication"

School of Economics, Tel Aviv University Department of Economics, New York University https://arielrubinstein.org/

Professor of Economics, @cpowellschool, @CityCollegeNY, @GC_CUNY, former White House SBST. Behavioral econ, decision-making. Outside there’s a boxcar waiting.

Game theorist and microeconomist at University of Graz. Am interested in consciously or unconciously strategic interaction in everyday life. https://gametheory.life/

Econ PhD @imperial. Visiting researcher at Cambridge. AI and networks in economics. www.prashantgarg.org

Economist at University of Bristol (micro theory, political economics). Organizer @vset.bsky.social and @poleconukinar.bsky.social. Classical music, food and Genoa CFC.

Associate Professor at Uni. St. Gallen. Interested in normative views and their policy implications.

Assistant Professor of Economics @UConn. I Study the Co-Evolution of Risk & Utility. Recovering Thru-Hiker. https://sites.google.com/view/remy-levin

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

Decision theorist and mathematical economist. Father of 2 crazy kids. Made in Italy, but citizen of the world.

Professor at University of Toronto

mathematician, economist

Dad, husband, Jew, Israeli, Canadian, Brit, economist, and occasional haiku-writer (though not always in that order)

Economics: AI, organizations, networks, bargaining Associate Professor @ IESE Business School | Fellow CEPR & HKU CAMO & BSE Previously: Harvard | UPenn | BSE Barcelona

Behavioral economist at NUS Singapore and N.1 Institute for Health 🇸🇬 Interested in digital health, behavior change, and public policy. https://gyulaseres.weebly.com/

Associate Professor at City University London, Chapman University affiliate, former PPE Fellow at UPenn | Economic theory & experimentation | Researching epistemic, strategic, and ethical dimensions of individual action | sontuoso.info

Philosopher, likes ethics, epistemology, uncertainty, welfare economics, category theory, climbing 🇺🇦

Professor of Economics, Georgetown University

Econ prof at Northwestern. Tech enthusiast. TeX devotee. Pythonista. Weekend runner. Born and raised in Milan 🇮🇹, living in Chicago 🇺🇲. Husband and dad. https://faculty.wcas.northwestern.edu/msi661 (pardon the handcrafted 90s-style HTML)

Organizational economist at Kellogg

Professor in Economics at Lund University. Theoretical economist, market designer, policy advisor, author. Webb: https://sites.google.com/site/tommyanderssonlunduniversity/home

Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.

News from the editors of Econometrica

The official account of the Review of Economic Studies, one of the world's top economics journals. #EconSky, #REStud

One of the oldest and most prestigious journals in economics, the Journal of Political Economy presents significant and essential scholarship in economic theory and practice. https://www.journals.uchicago.edu/journals/jpe/about

The Quarterly Journal of Economics is the oldest professional journal of Economics in the English language. Edited by the Department of Economics at Harvard.

The American Economic Association is a non-profit, non-partisan, scholarly association dedicated to the discussion and publication of economics research.

PhD student at the University of Pennsylvania. Prev, intern at MSR, and Meta FAIR. Interested in reliable and replicable reinforcement learning, robotics and knowledge discovery: https://marcelhussing.github.io/ All posts are my own.

Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/

cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/

Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.

Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.

Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.

Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer

Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com

wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)

PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/

Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io

Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca

PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!

Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me

doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/

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/

Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar

Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]

Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.

ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.

Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.

Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning). https://zstevenwu.com/

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.

Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org

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

full-time ML theory nerd, part-time AI-non enthusiast

Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷‍♂️, disentanglement🤔, king-man+woman=queen?👌…)

Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/

Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own

Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.

Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova. Interested in (deep) learning theory and others. https://erfunmirzaei.github.io/

Post-doctoral Fellow @ Vector Institute, Toronto

Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath