Jianfeng Cai serves as Professor in the Department of Mathematics at The Hong Kong University of Science and Technology, where he has established himself as a leading expert in mathematical foundations of imaging and data sciences. After completing his Bachelor's degree from Fudan University and PhD from the Chinese University of Hong Kong in 2007, he worked at several prestigious institutions including the National University of Singapore, UCLA, and University of Iowa before joining HKUST in 2015. His research focuses on theoretical and algorithmic foundations of problems related to information, data, and signals, with particular emphasis on efficient representation, sensing, and analysis of high-dimensional data. His groundbreaking work has garnered over 6,500 citations for a single paper on matrix completion algorithms, while his research has found applications in medical imaging, compressed sensing, signal processing, and machine learning. Named a highly cited researcher in mathematics by Clarivate Analytics in 2017 and 2018, his contributions include pioneering work in image restoration, matrix completion, and blind motion deblurring. Beyond his research, he actively supervises numerous PhD students while maintaining collaborations across multiple disciplines and institutions. His current office is located in Room 3438 at HKUST, where he continues to advance the field of mathematical imaging and data sciences through innovative research and mentorship.