Moo K. Chung, Ph.D. is an Associate Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison (http://www.stat.wisc.edu/~mchung). Chung is affiliated with the Waisman Laboratory for Brain Imaging and Behavior and the Department of Statistics. Chung received PhD from McGill University under Keith Wolseley and trained at the Montreal Neurological Institute. Chung’s research focuses on computational neuroanatomy, spectral geometry, and topological data analysis. Chung mainly concentrates on the methodological development required for quantifying and contrasting brain functional, anatomical shape and network variations in both normal and clinical populations using various mathematical, statistical, and computational techniques. He has published three books on neuroimage computation including Brain Network Analysis published through Cambridge University Press in 2019. Currently started writing a new book on Topological Data Analysis for Brain Imaging.