Research Bio
Ming Gu is a professor in the Department of Mathematics. His recent research interests include fast algorithms in numerical linear algebra, data analysis, optimization and machine learning, including deep learning. He has received numerous awards, including the best paper award at the international conference on high performance computing, 2017. He received his PhD (1993) degree in Computer Science from Yale University. He joined the Berkeley faculty in July 2000.
Research Expertise and Interest
mathematics, scientific computing, numerical linear algebra, convex optimization
Teaching
Numerical Analysis [MATH 128B]
Individual Research [MATH 295]
Individual Study for Doctoral Students [MATH 602]
Advanced Matrix Computations [MATH 221]
Individual Research [MATH 295]
Reading Course for Graduate Students [MATH 299]
Individual Study for Doctoral Students [MATH 602]
Numerical Analysis [MATH 128A]
Individual Research [MATH 295]
Individual Study for Doctoral Students [MATH 602]