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Fanghui Liu is currently an Assistant Professor at the University of Warwick, UK, and a member of the Centre for Discrete Mathematics and its Applications (DIMAP). He holds affiliations with the Division of Theory and Foundations of Computer Science (FoCS). Liu has previously worked as a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, from 2021 to 2023 and has spent several years as a postdoctoral researcher at KU Leuven, Belgium. His research interests are focused on the foundations of modern machine learning, examining learning efficiency from both theoretical and empirical perspectives. Liu specifically concentrates on developing modern machine learning models statistically and computationally efficiently, with an emphasis on trustworthy machine learning. His research contributions address how to efficiently manage nonlinearity at both theoretical and practical levels, providing theoretical guidelines to longstanding questions in science, technology, and engineering. He is actively looking for highly motivated Ph.D. students who are interested in machine learning theory and its theoretical applications.
École Polytechnique Fédérale de Lausanne • Switzerland
Conducted research on machine learning and its theoretical foundations.
KU Leuven • Belgium
Focused on computational efficiency in machine learning.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.