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Linglong Kong is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, where he holds a Canada Research Chair in Statistical Learning. He is also a CIFAR AI Chair and a Fellow of the Alberta Machine Intelligence Institute (Amii). His research focuses on various aspects of statistical learning, particularly in analyzing functional neuroimaging data through advanced methodologies such as varying coefficient models and multiscale adaptive regression models. He is actively involved in editorial roles for several prestigious journals and has contributed significantly to the field through teaching and numerous publications. Kong's academic journey includes a Ph.D. in Statistics from the University of Alberta as well as master's and bachelor's degrees from Peking University and Beijing Normal University, respectively. His work aims to bridge statistical theory and practical applications in neuroimaging and machine learning.
University of Alberta • Edmonton, AB, Canada
Professor in the Department of Mathematical and Statistical Sciences, focusing on statistical learning and neuroimaging data analysis.
Department: Mechanical Engineering and Engineering Management