Keyon Vafa
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences
https://keyonvafa.com
@serinachang5.bsky.social
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/
@ari-holtzman.bsky.social
Assistant Professor @ UChicago CS & DSI UChicao Leading Conceptualization Lab http://conceptualization.ai Minting new vocabulary to conceptualize generative models.
@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/
@skainswo.bsky.social
prev: @BrownUniversity, @uwcse/@uw_wail phd, ex-@cruise, RS @waymo. 0.1x engineer, 10x friend. spondyloarthritis, cars ruin cities, open source
@maxkasy.bsky.social
Econ prof at Oxford. Machine learning, politics, econometrics, inequality, random reading recs. maxkasy.github.io/home/
@kph3k.bsky.social
Psychology prof & behavior geneticist. Author of THE GENETIC LOTTERY (2021) and ORIGINAL SIN (coming 2026).
@jakehofman.bsky.social
senior principal researcher at msr nyc, adjunct professor at columbia
@zwojo.bsky.social
Econ | Cogsci | AI Psychology & Economic Theory Postdoc @ Harvard Economics / HBS http://www.zachary-wojtowicz.com
@grayshoebird.bsky.social
Asst. Prof. of Finance @ UCLA Anderson || AI, Urban, Real Estate, Corporate Finance || 🇩🇪 he, his || Previously: HBS, BCG, Princeton https://sites.google.com/view/gregorschubert
@asheshrambachan.bsky.social
econometrics | machine learning https://economics.mit.edu/people/faculty/ashesh-rambachan
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@maria-drc.bsky.social
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
@dmelis.bsky.social
Professoring at Harvard || Researching at MSR || Previously: MIT CSAIL, NYU, IBM Research, ITAM
@aijaleiponen.bsky.social
Professor of digital innovation strategy @Cornell Interested in decarbonization innovation
@aaron-kaye.bsky.social
Postdoc @MITSloan | PhD @UMichEcon & @MichiganRoss | Empirical IO, Digital Economics, & Health Joining @BUQuestrom Summer 2025 https://www.aaron-kaye.com
@peterbergman.bsky.social
Associate Prof. of Economics @utaustin. Director http://learningcollider.org. @NBERpubs affiliate. Co-Chair @mit @jpal edtech. Schmidt Futures Innovation Fellow. www.peter-bergman.com.
@sarahbana.bsky.social
Assistant Professor of Management Science at Chapman University, Digital Fellow at Stanford Digital Economy Lab. JEL: J24 she/her/hers
@anndvision.bsky.social
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@mcherep.bsky.social
PhD student @MIT (@Fulbright + @laCaixa) interested in behavioral machine learning through audio, agents, and simulations. mcherep.github.io
@adjiboussodieng.bsky.social
Academic at Princeton University. Leading @vertaix.bsky.social on research at the intersection of AI and the natural sciences. Founder of @theafricaiknow.bsky.social. Research Scientist at Google DeepMind.
@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 🗽
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@lucy3.bsky.social
UCBerkeley PhD student. #NLProc, computational social science, cultural analytics, AI fairness. she/her. A free range chicken; previously at Ai2, MSR, Stanford. https://lucy3.github.io
@sjgreenwood.bsky.social
PhD Student @ Cornell CIS Bluesky paper digest: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@ericlevitz.bsky.social
@jaanli.bsky.social
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/
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@swetakar.bsky.social
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
@anilananth.bsky.social
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
@garrisonlovely.bsky.social
Omidyar Network - Reporter in Residence + freelance journalist. Covers: The Nation, Jacobin. Bylines: NYT, Nature, BBC, Guardian, TIME, The Verge, Vox, Thomson Reuters Foundation, + others.
@heyyjudes.bsky.social
CS PhD Student @ Stanford Data, Diversity, and Downstream Impacts https://heyyjudes.github.io
@benedelman.bsky.social
Thinking about how/why AI works/doesn't, and how to make it go well for us. Currently: technical research × policy @ US AI Safety Institute benjaminedelman.com
@kawinethayarajh.bsky.social
Postdoc at Princeton PLI. Formerly PhD at Stanford CS. Working on behavioral machine learning. https://kawine.github.io/
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@lambdaviking.bsky.social
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
@joshagoldstein.bsky.social
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/
@lkatz42.bsky.social
Economist studying labor markets, inequality, and economics of social problems
@sucholutsky.bsky.social
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
@aleximas.bsky.social
Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern. Website: www.aleximas.com
@rafmbatista.bsky.social
PhD Student UChicago-Booth. #BehSci, consumer psych, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. Job Mkt Candidate!
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@lilyxu.bsky.social
Developing AI for planetary health. Postdoc at Oxford with the Leverhulme Centre for Nature Recovery & assistant prof at Columbia IEOR (starting fall 2025). https://lily-x.github.io
@estherrolf.bsky.social
Assistant Professor of CS at CU Boulder. I research statistical & geospatial machine learning.