Bryan Wilder
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@akazachk.bsky.social
assistant prof @ UF ISE • #orms, discrete optimization, computational economics • personal account Gainesville, Florida, USA • https://akazachk.github.io • Joined November 2024
@ktlr.bsky.social
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
@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.
@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
@marinkazitnik.bsky.social
Assistant Professor at Harvard | Faculty @Harvard @KempnerInst AI | Faculty @broadinstitute @harvard_data | Cofounder @ProjectTDC | @AI_for_Science
@milindtambe-ai.bsky.social
@Harvard Professor & Director Ctr for Computation & Society @HCRCS @GoogleDeepMind Principal Scientist & Director for AI for Social Good #AIforSocialGood #AIforSocialImpact #AIforhealth #AIforConservation
@priyald17.bsky.social
Assistant Professor, MIT EECS & LIDS | Co-founder & Chair, Climate Change AI | MIT Technology Review 35 Innovators Under 35 | she/they
@jessiefin.bsky.social
Assistant Prof at Boston College. Somewhere between ML theory and EconCS www.jessiefin.com
@liz-bondi-kelly.bsky.social
Assistant professor University of Michigan CSE. Former postdoc MIT CSAIL. Harvard SEAS PhD. Founder of Try AI, Inc. Research in AI for Social Impact.
@marcellaalsan.bsky.social
Economist & ID physician: Angelopoulos Professor of Public Policy at Harvard Kennedy School https://www.healthinequalitylab.org/ (she|her) Associate Editor, Journal of Economic Literature Senior Co-Editor, Review of Economics and Statistics
@frejohk.bsky.social
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
@rajpurkar.bsky.social
Radiology AI | Asst Professor at Harvard medical school | Co-Founder a2z Radiology AI
@naveenraman.bsky.social
Machine Learning PhD at Carnegie Mellon University. AI + Decision Making for social good. naveenraman.com
@awlevis.bsky.social
Postdoc @ CMU Statistics & Data Science www.awlevis.com interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
@secg95.bsky.social
Mathematician/engineer/AI researcher. @mldcmu/@SCSatCMU CS PhD student. Proud Colombian 🇨🇴. he/him Twitter: @sancortes_95
@sherrytswu.bsky.social
Assist. Prof at CMU, CS PhD at UW. HCI+AI, map general-purpose models to specific use cases!
@alroth.bsky.social
Stanford economist. I have a market design blog: https://marketdesigner.blogspot.com/ Lately I’m interested in #controversial markets
@tiziano.bsky.social
CS Postdoc @ Stanford HCI | Prev: PhD @ EPFL | https://piccardi.me/
@vinisingh.bsky.social
Asst Prof @CarnegieMellon • Health and Behavioral economist • Enjoy limericks, fantasy, and mezcal • also go by Vini https://www.manasvinisingh.com/ (opinions mine)
@sendhil.bsky.social
@dinapomeranz.bsky.social
Econ prof University of Zurich. Faculty affiliate at JPAL, CEPR, CESifo. Board member IIPF, Helvetas, GAIN. #EconSky
@tedmiguel.bsky.social
Economics Professor and Director Center for Effective Global Action (CEGA), University of California Berkeley (USA) http://emiguel.econ.berkeley.edu
@elizabethlinos.bsky.social
Assoc Prof of Public Policy & Management, Harvard Kennedy School Faculty Director, The People Lab ElizabethLinos.com peoplelab.hks.harvard.edu
@dbjork.bsky.social
Digital data/machine learning/economics, focused on developing economies. Faculty at Columbia. dan.bjorkegren.com
@kbeegle.bsky.social
Lead Economist, World Bank Research Group, and Development Impact blogger
@eduglaze.bsky.social
Chief Research/Methods Officer at Innovations for Poverty Action, Washington, DC Applied (policy) research: development econ, econ of education/labor, RCT design, survey methods, measurement Dabble in psychometrics, Bayesian inference, machine learning.
@dmckenzie.bsky.social
Lead Economist at the World Bank’s Development Research Group Development Impact blogger https://sites.google.com/site/decrgdmckenzie/
@nkeleher.com
Here for research and 🔱⚾ content. I lead the data team at www.poverty-action.org
@erezyoeli.bsky.social
Research Scientist, MIT Sloan Director, Applied Cooperation Initiative Co-author, Hidden Games Research focus: How to motivate people to do good
@mariadearteaga.bsky.social
Asst Professor, IROM Dept, UT Austin | FAccT EC | PhD, Machine Learning & Public Policy, Carnegie Mellon | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
@davmicrot.bsky.social
economist. Posts Reflect Me Only! collects/analyzes: poll, market, social media/online data, to study: news, public opinion, ads, market design
@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.
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@paularodrid.bsky.social
Harvard CS PhD Candidate. Interested in algorithmic decision-making, data-centric ML, and applications to public sector operations
@pim-well.bsky.social
Chief Data Scientist, Allegheny Department of Human Services Formerly Blue Rose Research, Civis Analytics
@stratiss.bsky.social
🚨On the academic job market🚨 PhD student @ Max Planck Institute for Software Systems. Interested in machine learning, game theory and causality. Previously at Meta, Stanford, NTUA. 💻 https://stsirtsis.github.io/
@mahdi.ch
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor. Opinions are mine and may evolve over time. repost ≠ endorsement. Policy: I don't interact with anonymous profiles. Join AAUP. he/him/his.
@emmapierson.bsky.social
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/
@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/
@nkittur.bsky.social
Professor of HCI @ Carnegie Mellon School of Computer Science. Accelerating knowledge and creativity with AI. https://kittur.org/
@diyiyang.bsky.social
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab Computational Social Science & NLP
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@s010n.bsky.social
Researcher, Microsoft Research; Faculty, Information Science, Cornell University
@hcrcs.bsky.social
Harvard Center for Research on Computation and Society (CRCS) advances the public good through collaboration between computational research and social science. https://crcs.seas.harvard.edu/ It's pronounced CRCS 🎪🐘