Dr. Fanghui Liu is currently an assistant professor at University of Warwick, UK, a member of Centre for Discrete Mathematics and its Applications (DIMAP). His research interests include machine learning theory as well as theoretical-oriented applications, e.g., trustworthy machine learning. He was a recipient of AAAI24 New Faculty Award, DAAD AINeT Fellowship 2024, Rising Star in AI (KAUST 2023). He has presented three tutorials at ISIT’24 on foundations of trustworthy machine learning, CVPR’23 on deep learning theory, and ICASSP’23 on statistical learning theory, respectively. He is an area chair of ICLR, AAMAS and will co-organize a workshop at NeurIPS 2024 on fine-tuning from principles to scalability. Prior to his current position, he worked as a postdoc researcher at EPFL (2021-2023) and KU Leuven (2019-2023), respectively. He received his PhD from Shanghai Jiao Tong University (China) in 2019 and bachelor’s degree from Harbin Institute of Technology (China) in 2014.