Hankyu Jang

Hankyu Jang is an applied scientist at Amazon, specializing in the application of cutting-edge machine learning techniques to detect fraudulent activities. They hold a PhD in Computer Science from the University of Iowa and previously earned a Master’s Degree in Data Science from Indiana University Bloomington. Hankyu has contributed to various machine learning projects, including developing a scalable fraud community detection pipeline and discovering key features affecting product performance. They have received recognition through multiple awards for their research in computational epidemiology and machine learning. Throughout their career, Hankyu has also excelled in teaching and mentoring students in programming and data science.