AP at Collegio Carlo Alberto (since Sept. 2023) | PhD from PSE, visited Brown Econ Dept | Econometrics & Labor Economics | https://yaganhazard.github.io/
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Assoc Prof Demography | Social Sciene Genetics | @CLScohorts/@UCL | Nuffield College | PI of FINDME | futureverse.com | Albstädter living in London
MIT postdoc, incoming UIUC CS prof
katedonahue.me
Asst Prof, Dartmouth CS. Human-AI Systems. Prev: PhD @ MIT, Allen Institute for AI, Netflix Research, Berklee College of Music.
https://nsingh1.host.dartmouth.edu
Associate Professor of Data Science and Informatics at the University of Oxford.
PhD student at Brown interested in deep learning + cog sci, but more interested in playing guitar.
Incoming Assistant Professor at UC Berkeley in CS and Computational Precision Health. Postdoc at Microsoft Research, PhD in CS at Stanford. Research in AI, graphs, public health, and computational social science.
https://serinachang5.github.io/
Assistant Professor @ UChicago CS & DSI UChicao
Leading Conceptualization Lab http://conceptualization.ai
Minting new vocabulary to conceptualize generative models.
Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
prev: @BrownUniversity, @uwcse/@uw_wail phd, ex-@cruise, RS @waymo. 0.1x engineer, 10x friend.
spondyloarthritis, cars ruin cities, open source
Econ prof at Oxford.
Machine learning, politics, econometrics, inequality, random reading recs.
maxkasy.github.io/home/
Psychology & behavior genetics. Author of THE GENETIC LOTTERY (2021) and ORIGINAL SIN (coming 3.3.2026). Speaking as an individual
senior principal researcher at msr nyc, adjunct professor at columbia
Econ | Cogsci | AI
Psychology & Economic Theory Postdoc @ Harvard Economics / HBS
http://www.zachary-wojtowicz.com
Asst. Prof. of Finance @ UCLA Anderson || AI, Urban, Real Estate, Corporate Finance || 🇩🇪 he, his || Previously: HBS, BCG, Princeton
https://sites.google.com/view/gregorschubert
Assistant Professor at MIT. Economics + AI.
Visiting Stanford 2025-2026 academic year.
https://economics.mit.edu/people/faculty/ashesh-rambachan
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV
https://sites.google.com/site/aboutpeterhull/home
Assistant Professor at UCL Computer Science
Future of Work, LLMs, Econ, Networks, ML & ABM
Previously, CSHVienna, Harvard Growth Lab, INETOxford & UNAM_MX alumni 🇲🇽
she/her
mariadelriochanona.info
Professoring at Harvard || Researching at MSR || Previously: MIT CSAIL, NYU, IBM Research, ITAM
Professor of digital innovation strategy @Cornell
Interested in decarbonization innovation
Postdoc @MITSloan | PhD @UMichEcon & @MichiganRoss | Empirical IO, Digital Economics, & Health
Joining @BUQuestrom Summer 2025
https://www.aaron-kaye.com
Associate Prof. of Economics @utaustin. Director http://learningcollider.org. @NBERpubs affiliate. Co-Chair @mit @jpal edtech. Schmidt Futures Innovation Fellow. www.peter-bergman.com.
Assistant Professor of Management Science at Chapman University, Digital Fellow at Stanford Digital Economy Lab.
JEL: J24
she/her/hers
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
PhD student at MIT working on behavioral machine learning.
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 🗽
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Postdoc at UW NLP 🏔️. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at Berkeley, Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. lucy3.github.io
PhD Student @ Cornell CIS
Bluesky paper digest: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
Small Language Models for Global Health Care
Trying to help people make money by investing in health and public space: https://onefact.github.io/healthcare-data/ and https://onefact.github.io/new-york-real-estate/
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Journalist with bylines in Nature, Quanta, Scientific American, New Scientist, and many more; former deputy news editor at New Scientist Author of 4 popular science books, including WHY MACHINES LEARN: The Elegant Math Behind Modern AI; TED speaker
Writing a book on AI+economics+geopolitics for Nation Books.
Covers: The Nation, Jacobin. Bylines: NYT, Nature, Bloomberg, BBC, Guardian, TIME, The Verge, Vox, Thomson Reuters Foundation, + others.
CS PhD Student @ Stanford
Data, Diversity, and Downstream Impacts
https://heyyjudes.github.io
Thinking about how/why AI works/doesn't, and how to make it go well for us.
Currently: AI Agent Security @ US AI Safety Institute
benjaminedelman.com
Postdoc at Princeton PLI. Formerly PhD at Stanford CS. Working on behavioral machine learning. https://kawine.github.io/
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Will irl - PhD student @ NYU on the academic job market!
Using complexity theory and formal languages to understand the power and limits of LLMs
https://lambdaviking.com/ https://github.com/viking-sudo-rm
networks, contagion, causality
faculty at MIT
Research Fellow @Georgetown's Center for Security and Emerging Technology (CSET).
Studying emerging tech, national security, and online manipulation. Trying to bridge the academia/policy divide.
https://cset.georgetown.edu/staff/josh-a-goldstein/
Economist studying labor markets, inequality, and economics of social problems
On the faculty job market!
Doing ML/DL with small data - Postdoc @PrincetonU
Making mining sustainable - VP Research @Stratum.AI
Trying to re-democratize AI
Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern.
Website: www.aleximas.com
Behavioral Scientist.
Lately, I've been thinking (and posting) about: AI+Psych, Personal Finance, Consumer Behavior. Civically engaged, so I occasionally post about that too.
Assistant professor of health economics at McGill
Assistant prof at Columbia IEOR developing AI for decision-making in planetary health.
https://lily-x.github.io
Assistant Professor of CS at CU Boulder. I research statistical & geospatial machine learning.
Postdoc @nunetsi.bsky.social (Northeastern Uni) 🎓 Computational Social Science 👾 ✨ work on stability of belief in LLMs & Human-AI Collaboration 🌿 he/him 🇱🇻 🇺🇦 | www.savcisens.com
Assistant Professor, Chicago Booth
Harvard AB/SM ‘19, PhD ‘25
Website: https://suproteem.cc
Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
Political Economy | Public Finance | AI + Econ | Senior Researcher at ETH Zürich
https://sergio-galletta.com/
I integrate insights and techniques from machine learning into the econometric toolbox.
https://gsb-faculty.stanford.edu/jann-spiess
HDSI Postdoctoral Fellow @Harvard. Research interests VIS, ML/AI, HCI, but curious about pretty much everything. All views my own.
Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com
Economist researching online marketplaces. Mind and Hand. 🎲🦜- appreciator
CS PhD candidate at Princeton. I study the societal impact of AI.
Website: cs.princeton.edu/~sayashk
Book/Substack: aisnakeoil.com
Professor of Sociology, Princeton, www.princeton.edu/~mjs3
Author of Bit by Bit: Social Research in the Digital Age, bitbybitbook.com
Postdoctoral fellow at the Stanford Institute for Economic Policy Research
Political Economy | Environmental Economics | Empirical Industrial Organization
https://nicolaslonguetmarx.github.io/
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Asst. Professor of Physics at @uwmadison.bsky.social, AI for science researcher, performing artist/creative technologist.
Research scientist at Meta on the llama team
Thinking about language models
Past: PhD at NYU, fellow at Harvard’s Kempner Institute
asst prof @ cornell info sci | fairness in tech, public health & services | alum of MSR, Stanford ICME, NERA Econ, MIT Math | she/her | koenecke.infosci.cornell.edu
Gemini Post-Training ⚫️ Research Scientist at Google DeepMind ⚫️ PhD from ETH Zurich
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/
Assistant professor of chemistry at the Technical University of Denmark (DTU). Also at Jura Bio. machine learning, statistics, chemistry, biophysics
https://eweinstein.github.io/
Head of Data Science at Blue Rose Research, based in NYC, originally from Miami.
I try to elect Democrats.
Views are my own. he/him🌹
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group
Interested in AI safety and interpretability
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
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
Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his)
https://laurent-dinh.github.io/
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Systems engineer @turbopuffer.bsky.social. Former CTO @materialize.com.
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Market Design/Entrepreneurship Economist • Harvard
Research Partner • a16z crypto
Editor • Review of Economics and Statistics
Puzzle writer & NFT enthusiast, QED | http://scottkom.com/
Prof at ETH: Law + economics + data science
Research Group Lead @ Max Planck Institute for Intelligent Systems, Tübingen. Into social networks, game theory, and casually causal inference.
Shaping the future of programming @tessl.io 🚀 | ex-@TwitterCortex @Birdwatch 💙 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, and lover of well-placed puns.
https://mgorinova.github.io/
machine learning and artificial intelligence | University of Chicago / Google
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
Head of AI & Media Integrity @ Partnership on AI, PhDing @ Oxford Internet Institute
www.claireleibowicz.com
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
Helping strengthen primary care & public health. Resident physician, previously special advisor to the 21st U.S. Surgeon General, views mine
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
