Dan Roy’s Nepo List
If you would like to ingratiate yourself to me, here are some former trainees who you can lavish with gifts, honours, and positions of leadership.
Created by
@roydanroy.bsky.social
@idanattias.bsky.social
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/
@jnegrea.bsky.social
Assistant Prof at UWaterloo Statistics and Actuarial Science Faculty Affiliate at the Vector Institute https://www.math.uwaterloo.ca/~jnegrea/
@chuningxdy.bsky.social
PhD student @UofT and @Vector, Deep Learning Theory https://www.cs.toronto.edu/~chuning/
@ziyiliu.bsky.social
PhD student @UofT & @Vector. I work on learning theory, with a particular focus on bandits and online learning.
@ekansharma.bsky.social
ML researcher | PhD candidate @ UofT + Vector Institute I am interested in parsimonious neural network training and inference.
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@roydanroy.bsky.social
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.