Xiaodan Fan is a professor in Statistics at the Chinese University of Hong Kong. He earned a BE in Automation and an MS in Pattern Recognition & Intelligent Systems from Tsinghua University, China, followed by a PhD in Statistics from Harvard University. His research interests encompass probabilistic modeling, machine learning, statistical computing, and their applications in biomedicine. He has served as an associate editor for the Journal of Computational and Graphical Statistics since July 2012 and as an editorial board member for Frontiers in Genetics since April 2015. Additionally, he was a guest editor for the IEEE/ACM Transactions on Computational Biology and Bioinformatics from November 2014 to April 2018. Fan has reviewed for several prestigious journals, including the Journal of the American Statistical Association and Bioinformatics, and has actively participated in organizing numerous academic conferences in his field.