Welcome to Doyeon's Homepage
Welcome to Doyeon's Homepage
Hi, I'm Doyeon, a math PhD student at University of Illinois, Chicago. I earned my Master's degree in Applied Statistics from California State University, Long Beach (My second hometown). I earned my Bachelor's degrees in Mathematics and Economics from University of Minnesota, Twin Cities.
My primary research interests lie in Applied Statistics, particularly in SML and Med/Biostatistics. Beyond statistics, I have an interest in applied economic areas, particularly Industrial Organization (IO) and Econometrics (Time Series, Causal Inference and Panel data). I have some background in other science fields and am also interested in various scientific disciplines, including organic synthesis, molecular biology, and protein folding, just for fun.
I first came to the US in 2012 and I mostly spent my twenties in Orange, CA and Minnepolis, MN. I have been to other cities; Chicago, Los Angeles, San Fransico, Salt Lake City, Huston, Atlenta, etc. When I was in Chicago 6 years ago, I thought I wouldn't want to live in Chicago and I wouldn't go back to Chicago because Chicago is a very windy city, but I'm in Chicago now.
She is my dog (Mary). Mary is 15 years old now, but she still looks young and healthy and she still bites me. I'm so excited to see her next year.
These figures present the results of machine learning classification methods: (1) Random Forest, (2) Support Vector Machine, and (3) K-Nearest Neighbor, applied to the Iris dataset. Due to the small sample size of the Iris dataset, the results are highly competitive, with minimal differences between the machine learning methods and classical approaches, such as Fisher's method.