Aviad Rubinstein
Algorithms for Toddlers (https://youtu.be/nnLOi3ia210) | Algorithms for Teenagers (https://tinyurl.com/2cnp39cf) | Algorithms for Grown Ups (http://dblp.org/pid/11/10308)
@charapod.bsky.social
Assistant Professor of Operations Research and Statistics, MIT. Interested in social computing, human-in-the-loop of AI decision making, recommendation systems, and AI policy.
@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/
@froystig.bsky.social
research scientist at google deepmind. co-author of JAX (https://github.com/jax-ml/jax) https://cs.stanford.edu/~rfrostig
@iannis.bsky.social
Professor of Computer Science at Aarhus University. Researcher in algorithm design, foundations of AI/ML, algorithmic game theory, computational social choice.
@sloanfoundation.bsky.social
We fund research, engagement and education in science, technology, engineering, mathematics and economics. Based in NYC. More here: https://sloan.org/
@tcsplus.bsky.social
TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
@mdinitz.bsky.social
Associate Professor, Department of Computer Science, Johns Hopkins University. https://www.cs.jhu.edu/~mdinitz/
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@huckbennett.bsky.social
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music. https://home.cs.colorado.edu/~hbennett/
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@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.
@optimistsinc.bsky.social
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
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@alroth.bsky.social
Stanford economist. I have a market design blog: https://marketdesigner.blogspot.com/ Lately I’m interested in #controversial markets
@liadblumrosen.bsky.social
Assoc. Prof. at the Hebrew U Business School. Auctions, algorithmic game theory, pricing and competition, basketball.
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@michal-feldman.bsky.social
Professor of Computer Science, @TelAvivUni | @ACM SIGECOM Chair | Research areas: Econ&CS, Algorithmic Game Theory, Market Design
@acelli.bsky.social
Assistant professor of computer science at Bocconi University | https://andcelli.github.io/
@ellen-v.bsky.social
Assistant Professor at Stanford Machine learning, algorithm design, econ-CS https://vitercik.github.io/
@acmsigecom.bsky.social
ACM SIGecom encourages research and advanced applications at the interface between economics and computer science. See you at the EC'25 #ACMEC25!
@siddharthbarman.bsky.social
@nimahaghpanah.bsky.social
@jamiemmt.bsky.social
CS professor at UW, research focus in theory of ML, fairness, and econCS
@nkgarg.bsky.social
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
@caltecheconthry.bsky.social
Economic theory at Caltech. Views expressed in this account do not reflect those of economic theorists at Caltech.
@gkatzelis.bsky.social
Associate professor of Computer Science at Drexel University. Interested in mechanism design, game theory, algorithms, fair division. https://www.cs.drexel.edu/~gkatz/
@divyarthi.bsky.social
Postdoctoral Fellow @BU_CDS. Previously postdoc @TelAvivUni and PhD @Princeton. https://www.divyarthimohan.com
@jubaz.bsky.social
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.
@5harad.com
Professor of Public Policy at Harvard, co-director of @comppolicylab.bsky.social, applying a computational approach to public policy, including to issues in education, healthcare, and criminal justice. https://5harad.com
@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
@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
@skominers.bsky.social
Market Design/Entrepreneurship Economist • Harvard Research Partner • a16z crypto Editor • Review of Economics and Statistics Puzzle writer & NFT enthusiast, QED | http://scottkom.com/
@shengwuli.bsky.social
Econ prof at Harvard. (Mechanism design, market design, behavioral theory.) www.shengwu.li
@jasonhartline.bsky.social
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/
@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/
@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.
@kiragoldner.bsky.social
Assistant Professor at BU CDS EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder Previously Columbia, UW, Oberlin. Views are mine alone. www.kiragoldner.com
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@lenoreblum.bsky.social
Mathematician and Theoretical Computer Scientist (#mathematics, #TCS) interested in #Consciousness and #NeuroAI (#Neuroscience, #AI). Distinguished Career Prof of CS at CMU, Emerita. President, Assoc for MathConscSci (AMCS) (https://amcs-community.org)