PhD student in Statistics.

I am a PhD student in Statistics at Stanford University. I am broadly interested in statistical theory, probability, optimization, and algorithms, with particular interest in high-dimensional statistics, random structures, and theoretical machine learning.

Before Stanford, I studied Math and Computer Science at Brown University.

email  ·  github  ·  google scholar

Selected work

Robust Reconstruction on Trees with a Growing Alphabet
Heon Lee
Projected Subgradient Ascent for Convex Maximization
Pedro Felzenszwalb, Heon Lee

Earlier publications

Street Crossing Aid Using Light-Weight CNNs for the Visually Impaired Samuel Yu, Heon Lee, Jung Hoon (John) Kim IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), arXiv preprint, 2019.
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired Samuel Yu, Heon Lee, Jung Hoon (John) Kim Computer Analysis of Images and Patterns (CAIP); arXiv preprint, 2019.

Contact

The best way to reach me is by email. A current CV is available upon request.