- V @valyakuttan.bsky.social @valyakuttan.bsky.social
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Juba Ziani @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.
Rasmus Pagh @rasmuspagh.net Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
Sergei Vassilvitskii @vsergei.bsky.social Algorithms, predictions, privacy.
https://theory.stanford.edu/~sergei/
Aaron Roth @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
Gautam Kamath @gautamkamath.com Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com