Chuan-Zheng Lee

Chuan-Zheng Lee 

I'm studying towards a PhD in electrical engineering at Stanford University. I'm interested in information theory, reinforcement learning, communications, computer networks and technology policy. My advisor is Ayfer Özgür.

In summer 2019, I worked as a visiting student researcher with Odalric-Ambrym Maillard in the SequeL team at Inria Lille-Nord Europe.

I received my BE(Hons) degree in electrical and electronic engineering with first class honors from The University of Auckland, finishing studies there in 2010, and my MS degree in electrical engineering from Stanford University in 2015. From 2011 to 2013, I worked as a signal processing engineer for Aviat Networks in its Wellington, New Zealand office.




I'm passionate about and have spent a lot of my graduate school career involved in teaching introductory-level engineering courses. So far, I've mostly been involved with ENGR 40M, “An Intro to Making: What is EE?”

I've also been a TA for EE 102A (Signal Processing and Linear Systems I), EE 101B (Circuits II) and EE 279 (Introduction to Digital Communication).


I ran the experiments in section 5 of Y. Han, J. Jiao, C.Z. Lee, T. Weissman, Y. Wu and T. Yu, “Entropy Rate Estimation for Markov Chains with Large State Space”, NeurIPS 2018.

Personal projects

I write software for debate tournaments in my spare time.