معرفی
Samy Wu Fung is an Assistant Professor in the Department of Applied Mathematics and Statistics and affiliated with the Department of Computer Science at Colorado School of Mines. He is part of the Mines Optimization and Deep Learning (MODL) group. Prior to this, he was an Assistant Adjunct Professor at UCLA's Department of Mathematics. He holds a PhD in Applied Mathematics from Emory University (2019) and a BSc in Applied Mathematics from Brown University (2014).
His research focuses on the intersection of applied mathematics and data science, particularly in inverse problems, optimization, deep learning, optimal control, and mean field games. His work spans theoretical developments and practical applications, including numerical solutions for Hamilton-Jacobi PDEs and algorithms for swarm control.
Recent publications highlight advancements in mean-field games, optimization methods for SAT solving, and generalization bounds for implicit networks. He has received notable awards, including the 2024 Laney Early Career Alumni Award and the 2022 MGB-SIAM Early Career Fellowship.
Advising includes PhD students like Soraya Terrab and Alex Vidal. He has secured grants such as the NSF-DMS award (2023) supporting learning-to-optimize research. Teaching roles include courses like Numerical Optimization and Scientific Computing at Colorado School of Mines.
His lab, MODL, emphasizes interdisciplinary projects in optimization and deep learning, with collaborations spanning academia and industry. Ongoing work explores explainable AI, hybrid SAT solving, and high-dimensional mean-field control.
