Summary
Younghoon Kim is a William L. Maxwell Postdoctoral Fellow at Cornell with nine years of experience at the intersection of statistics, probability, optimization, and machine learning, focusing on high-dimensional inference and time series. He develops theory and practical algorithms — including R packages for complex-valued penalized regression and robust M-estimators — and applies them to problems ranging from graphical time series in the frequency domain to mHealth-driven prediction for psychiatry and chronic pain. Trained with a PhD in Statistics and Operations Research (UNC) and dual undergraduate degrees in industrial engineering and mathematics, he combines deep theoretical rigor with hands-on software and mentoring experience. His background uniquely spans clinical-facing digital health projects (Biogen, Weill Cornell Medicine) and foundational methodological work, reflecting an ability to translate theory into deployable tools for messy, real-world data.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Industrial & Systems Engineering, Master of Engineering - MEng, Industrial & Systems Engineering at Korea Advanced Institute of Science and Technology
Bachelor of Engineering - BE, Industrial Engineering, Bachelor of Engineering - BE, Industrial Engineering at Hanyang University
Doctor of Philosophy - PhD, Statistics and Operations Research, Doctor of Philosophy - PhD, Statistics and Operations Research at University of North Carolina at Chapel Hill
English, Korean