Assistant Professor at Institute of Science Tokyo | String Algorithms peakerguo.com

ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.

Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.

A geometer in the corn fields. https://sarielhp.org

Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/

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/

Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein

Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com

researcher in linear programming

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

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

Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.

Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University

Professor of computer science at Boston University. Not related to any economists, living or dead, as far as I know.

Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/

Differential Privacy. Machine Learning. Apple.

Associate Professor at Princeton Machine Learning Researcher