Junxuan (Helen) Shen

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

My research focuses on designing practical algorithms for sequential decision-making under uncertainty, with an emphasis on optimally using machine-learned predictions with different costs and qualities. I am interested in applications including online experimentation, queueing systems, and embodied agents.

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.