Dr. Chun-houh Chen received his bachelor's degree from the Department of Statistics at National Chung Hsing University, Taiwan, in 1984. He later earned his master's degree (1990) and Ph.D. (1992) in Mathematics from the University of California, Los Angeles (UCLA). His expertise spans a wide range of areas, including multivariate statistical methods, exploratory data analysis (EDA), data/information/matrix visualization, dimension reduction, machine/deep learning, biobanking, bioinformatics, and precision/intelligent health. 

Dr. Chen is an internationally recognized statistician. He has held various academic positions, including Assistant Professor in the Department of Statistics/Computer and Information Systems at George Washington University (1992-1993), Assistant Research Fellow (1993-2002), Associate Research Fellow (2002-2011), and Research Fellow (2011-present) at the Institute of Statistical Science, Academia Sinica, Taiwan. He served as Chairperson of the Asian Regional Section (ARS) of the International Association for Statistical Computation (IASC) from 2013 to 2015, was a member of the International Statistical Institute (ISI) Council (2015-2019), and is currently the president of the IASC (2023-2025). One of his most significant contributions to research is the development of the Generalized Association Plots (GAP) series, a set of matrix visualization tools crucial for EDA, capable of visualizing a variety of data types, including continuous, binary, ordinal, categorical, symbolic, and cartographic data, even in high-dimensional/large sample structures. Recently, Dr. Chen has shifted his focus to precision and intelligent health, leading research initiatives and practical applications within Academia Sinica and medical community in Taiwan.