Junxuan (Helen) Shen

Hi! My name is Junxuan (Helen) Shen, a first-year PhD student at MIT EECS, where I am honored to be advised by Prof. Thodoris Lykouris. I am currently supported by the Hewlett Packard Fellowship from MIT School of Engineering.

My work explores the intersection of EconCS and Learning Theory. My research focuses on designing online algorithms that involve human-AI interactions, leveraging tools from stochastic processes and optimization. I am particularly interested in building theoretical models that address practical challenges, with a goal of maximizing revenue and/or efficiency.

Before joining MIT, I graduated from Caltech in 2024 with a B.S. degree in computer science and mathematics, where I was fortunate to be mentored by Adam Wierman, Guannan Qu, Nicolas Christianson, and Adam Sheffer, and explored research topics including learning-augmented algorithms, control+learning, and extremal combinatorics.