Junxuan (Helen) Shen

Hi! My name is Junxuan. I am a second-year PhD student in EECS at MIT. My research interests are in robot learning, with a focus on hierarchical planning and sequential decision-making for robotic manipulation. More broadly, I am interested in building systems that combine learning, structure, and physical reasoning, using tools from 3D perception and generative modeling.

I received a Master of Science degree in EECS from MIT, where I was advised by Professor Thodoris Lykouris and worked on principled algorithms for sequential decision-making under uncertainty, with applications in sequential experiments and queueing systems.

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.