Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
economics and computer science professor at Northwestern
bengolub.net
social and economic networks
originally from Ukraine
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.
Professor, Computer Science, New York University. Interested in Algorithms.
LightOn, President
GenAI for enterprise, LLMs
Former Nuclear and Rocket Scientist
Nuit Blanche writer (Compressive Sensing, Matrix Factorizations to DL). Paris Machine Learning meetup cofounder
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.
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/
BOOK: AI Snake Oil. https://www.aisnakeoil.com/
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor.
Opinions are mine and may evolve over time.
repost β endorsement.
Policy: I don't interact with anonymous profiles.
Join AAUP.
he/him/his.
Current: Asst Professor at Penn CIS
Past:
Cryptographer at Aleo
Crypto and computer security PhD, UC Berkeley
he/him
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
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.
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwiπ³πΏ in CaliforniaπΊπΈ
http://stein.ke/
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
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Associate Professor, Department of Computer Science, Johns Hopkins University.
https://www.cs.jhu.edu/~mdinitz/
β http://www.neeldhara.com
Computer Science -- Computational Complexity (cs.CC)
source: https://export.arxiv.org/rss/cs.CC
maintainer: @tmaehara.bsky.social