Dr Bernadette Stolz
Bernadette obtained her DPhil in 2020 from the Mathematical Institute at the University of Oxford. She is now a Postdoctoral Research Assistant at the Centre for Topological Data Analysis at the University of Oxford, where she is also a Research Member of Common Room at Kellogg College. She develops techniques in topological data analysis (TDA) to study biological data, in particular dynamical networks and spatial data. Her research can be broadly categorised into three main groups: 1) Developing TDA techniques to answer biological questions arising from experimental data. 2) Developing novel data science methods based on TDA. 3) Using TDA in combination with mechanistic models to link form and function in biological systems. Her expertise in TDA is complemented by an MSc in Mathematical Modelling and Scientific Computing (University of Oxford) and two undergraduate degrees in Mathematics (University of Bern) and Molecular Medicine (University of Göttingen). Her research has been recognised with the L'Oréal-Unesco For Women in Science Rising Talent Award, the Anile-ECMI Prize for best PhD thesis, and the Mathematical Institute (University of Oxford) DPhil Thesis Prize.