Colin Sandon

Postdoctoral Researcher, Princeton University

Colin Sandon received his PhD from Princeton in 2017, where he worked on community detection in the stochastic block model. Colin earned his bachelor's degree in math from MIT in 2012. He researched curves in tropical geometry in summer 2009. In summer 2011, he proved a few new colored partition identities, as well as finding bijective proofs of some old ones, which led to the publication of two papers. Colin started his research on the stochastic block model in 2014, and promptly generalized results on when the graph provided enough information to completely determine the communities from the two-community symmetric case to more general cases. Then he extended these results to cover scenarios where the parameters of the model are unknown. Most recently, he has been proving results about when it is possible to assign vertices to communities with accuracy nontrivially greater than that attained by guessing blindly. When he is not working on research, Colin likes to play strategy games.

Program Visits

Foundations of Deep Learning, Summer 2019, Visiting Scientist
The Brain and Computation, Spring 2018, Research Fellow