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

Studies Algorithmic game theory and online learning University of Pennsylvania/ Simons institute https://www.seas.upenn.edu/~eshwar/

Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com

The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.

Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.

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.

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)

Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter

Differential Privacy. Machine Learning. Apple.

Professor, Computer Science, New York University. Interested in Algorithms.

Faculty at Georgia Tech.

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

Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/

PhD student at @cmurobotics.bsky.social working on interactive algorithms for agentic alignment (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.

PhD Student in Machine Learning at CMU. 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io

Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky

Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington Visiting Faculty, NVIDIA Ph.D. from Berkeley, Postdoc MIT https://homes.cs.washington.edu/~abhgupta I like robots and reinforcement learning :)