Mincheol Shin

Adjunct Faculty

Mathematical Statistics, Machine Learning, XAI (eXplainable AI), Semiparametrics

Mincheol (Michael) Shin is an Adjunct Faculty of George Mason Korea and a growing scholar currently pursuing his Ph.D. in Statistics nextdoor at Stony Brook University (SUNY Korea). He has industrial experiences prior to his academic journey. He developed a fraud-detection model with big data, applied with machine learning in an IT company. And he worked as a risk analyst and a statistician in a bank, prior to his decision of pursuing his Ph.D.

Courses Taught

Statistics and Big Data

Statistical Analysis

Introductory Calculus

Multivariate and Vector Calculus

Mathematics and A.I. (Linear algebra, probability theory)

Education

B.S. Applied Mathematics and Statistics - Stony Brook University

B.A. Economics - Stony Brook University

M.S. Statistics - Stony Brook University

(In progress) Ph.D. Statistics - Stony Brook University (SUNY Korea)