معرفی
Harald Oberhauser is a Professor of Mathematics at the University of Oxford, serving as a Tutorial Fellow at St. Hugh's College. He is affiliated with the Mathematical Institute and the Oxford-Man Institute of Quantitative Finance, with research supported by DataSig, The Turing Institute, and CIMDA.
- Education:
- Master’s in Mathematics, University of Vienna
- PhD in Stochastic Analysis, University of Cambridge (Statslab)
His research bridges probability theory, stochastic processes, and analysis with applications in machine learning, statistics, algebra, and topology. Recent work emphasizes kernel methods, signature-based models, and topological data analysis for sequential data and stochastic systems. Collaborative projects span Bayesian inference, probabilistic safety, and nonlinear filtering.
His scientific awards include the NeurIPS 2020 Spotlight Paper for "A Randomized Algorithm to Reduce the Support of Discrete Measures." He supervises DPhil students such as James Foster, Francesco Cosentino, and Patric Bonnier, alongside postdoctoral researchers like James Foster and Darrick Lee. Key collaborations and software tools include KSig (for signature kernels) and Python implementations for kernel quadrature and measure reduction.
