Jamie Morgenstern
CS professor at UW, research focus in theory of ML, fairness, and econCS
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@mdinitz.bsky.social
Associate Professor, Department of Computer Science, Johns Hopkins University. https://www.cs.jhu.edu/~mdinitz/
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@jrudoler.bsky.social
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)
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@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/
@paulwgoldberg.bsky.social
Professor of Computer Science, Oxford University. Research interest in Algorithmic Game Theory, also Computational Complexity. Also interested in good urbanism & cartoons https://www.cs.ox.ac.uk/people/paul.goldberg/index1.html
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@elliotlip.bsky.social
To be specific, in the Dawes, Tomes, Mousely, Grubbs Fidelity Fiduciary Bank. http://elliotlipnowski.com/
@shengwuli.bsky.social
Econ prof at Harvard. (Mechanism design, market design, behavioral theory.) www.shengwu.li
@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/
@sanmayd.bsky.social
CS prof at VT Innovation Campus, Assoc. Dir., AI for Social Impact, Sanghani Center. Professional: AI and society, EconCS, etc. Chair, ACM SIGAI. Personal: Husband, dad, squash player, cyclist. From Delhi to NoVA, via Boston, upstate NY, STL, others...
@steve-tadelis.bsky.social
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
@andreyfradkin.bsky.social
Prof studying digital platforms, marketing, and labor markets at Boston University. Convener of nerds and semi-competent climber.
@hannahli.bsky.social
Assistant Prof at Columbia || Studying data science and its interactions with human behavior || Applications in education, healthcare, and online platforms. https://hannahql.github.io/
@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
@johnjhorton.bsky.social
Economist researching online marketplaces. Mind and Hand. 🎲🦜- appreciator
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@shanicn.bsky.social
Economics PhD candidate at Harvard. Studies micro and macro economics. Erdős number 2. Fellow at Molad Center. https://www.shanicohen.org/
@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
@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.
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@caltecheconthry.bsky.social
Economic theory at Caltech. Views expressed in this account do not reflect those of economic theorists at Caltech.
@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
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@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
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@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
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@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/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@eigx.bsky.social
Assistant Professor at the University of Michigan. I design fast graph algorithms in dynamic/distributed/local settings. https://sites.google.com/site/thsaranurak/
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@geomblog.bsky.social
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
@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)
@hatami.bsky.social