Junxuan (Helen) Shen

Hi! My name is Junxuan (Helen) Shen, a second-year PhD student at MIT EECS, where I am honored to be advised by Prof. Thodoris Lykouris.

My work explores the intersection of EconCS and Learning Theory. In particular, I am interested in leveraging machine-learned predictions with various costs and qualities for (near-)optimal sequential decision-making under uncertainty.

Before joining MIT, I graduated from Caltech in 2024 with a Bachelor of Science degree in computer science and mathematics, where I was fortunate to be mentored by Professors Adam Wierman, Guannan Qu, Nicolas Christianson, and Adam Sheffer, and explored research topics including metrical task systems with ML predictions, control+learning, and extremal combinatorics.