Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music.
https://home.cs.colorado.edu/~hbennett/
Asst Prof, IT and IST, University of Lisbon. Likes coding theory, cryptography, and (pseudo)randomness.
Prev: faculty @ NOVA FCT, postdoc @ CMU, PhD @ Imperial
https://sites.google.com/site/joaorib94/
CS Professor at UMass Amherst. Theoretical computer science, numerical linear algebra, machine learning.
Assistant professor at University of Michigan. Theoretical computer science.
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC.
My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science.
https://www.idanattias.com/
CS Assistant Professor at Texas A&M University. Sublinear algorithms, machine learning, TCS. Typical academic seeking knowledge, purpose, and free food. He/him.
https://samsonzhou.github.io
Associate Professor, Department of Computer Science, Johns Hopkins University.
https://www.cs.jhu.edu/~mdinitz/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Associate Professor (Reader) at Edinburgh,
Former PhD Student at EPFL and Lecturer at Oxford,
Interested in Databases, Programming Languages, and Compilers
amirsh.github.io
Founder & CEO at RELAI (relai.ai), CS Prof at UMD, ML/AI, MIT Alum
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Theoretical Computer Science @ EPFL
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.
Assistant Professor at the University of Michigan.
I design fast graph algorithms in dynamic/distributed/local settings.
https://sites.google.com/site/thsaranurak/
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)
Professor, Computer Science, New York University. Interested in Algorithms.
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.
