Daan Camps is a quantum computing and HPC engineer in the Advanced Technologies Group at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. He worked as a postdoctoral researcher in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory and as a Ph.D. researcher in computer science at KU Leuven. His research interests span numerical linear algebra with an emphasis on eigenvalue problems, quantum computing and algorithms, high performance computing, and machine learning.
Thomas Mach is a postdoctoral researcher at the University of Potsdam, Germany. He has worked at KU Leuven, NU Astana, Kent State University, and the Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg. His primary research interests are eigenvalue problems, structure matrices, ill-posed problems, and data assimilation.
Raf Vandebril is a professor at KU Leuven, Belgium. He has a passion for teaching, and his primary research interests link to numerical linear algebra and numerical analysis, with an emphasis on the design of fast algorithms for structured rank matrices and eigenvalue problems.
David S. Watkins is a professor emeritus of mathematics at Washington State University. He is the author or coauthor of four books and numerous research and expository papers in the field of matrix computations, with an emphasis on eigenvalue problems. He has also published in physics and chemistry journals on various topics, including ionospheric physics and nonlinear optics.
