Featured

This site describes my professional experience, my favorite technical projects, and some of my personal interests.

Experience Overview

I am a data scientist at Blackstone applying generative AI, statistics, and machine learning to private investment decisions. I have internship experience in quantitative finance, artificial reality, and health technology.

Multiclass Classification for Scoliosis Diagnosis

A recent computer vision & machine learning study I worked on was accepted into the 2025 AANS/CNS Spine Summit Annual Meeting as an e-poster! We achieved an AUC Score of 91.1% and an F1 Score of 85.1% when classifying scoliosis severity into three bins from spine segmentations of X-Ray images.

Yu, J., Lahoti, Y., McCandless, K.C., Namiri, N.K., Song, J., Corvi, J.J., Cho, S., Kim, J. Automated Scoliosis Cobb Angle Classification with Classical Machine Learning Models. Spine Summit 2025 E-Poster Presentation.