I’m a PhD student at the Korteweg-de Vries Institute and QuSoft at the University of Amsterdam, and an affiliated researcher at the Ruhr-Universität Bochum, advised by prof. dr. Michael Walter and prof. dr. Eric Opdam. My office is located at Centrum Wiskunde & Informatica.
I’m interested in classical and quantum algorithms for optimization problems with a lot of geometric or algebraic structure, such as (geodesic) convexity or having many symmetries. In particular, I’m interested in scaling problems, such as matrix scaling, operator scaling and tensor scaling. These problems have connections to representation theory, geometric invariant theory, quantum information theory, quantum many-body physics, machine learning, statistics, and numerical linear algebra.
The minimal canonical form of a tensor network
A. Acuaviva, V. Makam, H. Nieuwboer, D. Pérez-García, F. Sittner, M. Walter and F. Witteveen
Interior-point methods for unconstrained geometric programming and scaling problems
P. Bürgisser, Y. Li, H. Nieuwboer, and M. Walter
An Extended Twin-Pedigree Study of Neuroticism in the Netherlands Twin Register
D. I. Boomsma, Q. Helmer, H. A. Nieuwboer, J. J. Hottenga, M. H. de Moor, S. M. van den Berg, G. E. Davies, J. M. Vink, M. J. Schouten, C. V. Dolan, G. Willemsen, M. Bartels, T. C. E. M. van Beijsterveldt, L. Ligthart, and E. J. de Geus
Behavior Genetics (2018)
GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes
H. A. Nieuwboer, R. Pool, C. V. Dolan, D. I. Boomsma, and M. G. Nivard
American Journal of Human Genetics (2016)
The Computerized Neurocognitive Battery: Validation, aging effects, and heritability across cognitive domains
S. C. Swagerman, E. J. C. de Geus, K.-J. Kan, E. van Bergen, H. A. Nieuwboer, M. M. G. Koenis, H. E. Hulshoff, Pol, R. E. Gur, R. C. Gur, and D. I. Boomsma