Bernadette Stolz

Research Member of Common Room

Postdoctoral Research Assistant

Mathematical Institute

stolz@maths.ox.ac.uk

Bernadette Stolz is a researcher in the Centre for Topological Data Analysis at the Mathematical Institute at the University of Oxford. She is interested in applying ideas from pure mathematics, specifically topology, to study the shape of biological data and gain novel insights into complex biological processes. As part of her work she is developing methods using computational topology to quantify the unique features of tumour blood vessel networks and the effects of treatment on these networks. She is collaborating very closely with an interdisciplinary group of researchers from mathematics, oncology, and industry. Other projects include analysis of (dynamic) networks created from neuroscience data, outlier-robust subsampling techniques for persistent homology, and detection of geometric anomalies in data.

Before pursuing her DPhil, Bernadette obtained an MSc in Mathematical Modelling and Scientific Computing from the University of Oxford in 2014, as well as two undergraduate degrees from the University of Bern (BSc in Mathematics, 2012) and the University of Göttingen (BSc in Molecular Medicine, 2009). As part of her degrees she also spent time studying at Charles University in Prague (2011) and conducted two short research projects at the University of Cambridge (2008 and 2009).