Assistant Prof. USC Marshall in Data Science and Operations,
Postdoc UCBerkeley, PhD Stanford
CS PhD student at Cornell Tech. Interested in interactions between algorithms and society. Princeton math '22.
kennypeng.me
Studies Algorithmic game theory and online learning
University of Pennsylvania/ Simons institute
https://www.seas.upenn.edu/~eshwar/
RL Researcher | Postdoctoral Associate @mitidss
Interested in RL theory, stochastic optimisation and online learning.
https://muchay.github.io/
Assistant professor at University of Michigan. Theoretical computer science.
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
AI Researcher, Policy Strategist, & Technorealist. Founder, Technēculturǎ.
Columnist, Science Magazine.
Cornell Computer Science PhD.
TIME100 AI. Forbes Under 30 AI.
Critically examining global equity in AI.
👩🏾💻: www.chinasatokolo.com
📩: bit.ly/contactCTO
Statistics PhD student @UCBerkeley
http://aulichney.github.io/
full-time ML theory nerd, part-time AI-non enthusiast
CS PhD student at UPenn studying strategic human-AI interaction. On the job market! Nataliecollina.com
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her
https://psamathe50.github.io/sikatasengupta/
Professor, Computer Science, New York University. Interested in Algorithms.
Differential Privacy. Machine Learning. Apple.
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net
RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. 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
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
Assistant Professor at BU CDS
EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder
Previously Columbia, UW, Oberlin. Views are mine alone.
www.kiragoldner.com
CS professor at UW, research focus in theory of ML, fairness, and econCS
