Bernadette Jana Stolz-Pretzer
Web site: Site web: https://hessbellwald-lab.epfl.ch
Domaines de compétences
Biographie
Bernadette Stolz 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 topological data analysis (TDA) is complemented by experience in mathematical biology, network science, and data science.Parcours professionnel
Visiting Research Fellow
Mathematical Institute
University of Oxford
2022-2023
Postdoctoral Research Assistant
Mathematical Institute
University of Oxford
2019-2022
Formation
DPhil (PhD)
Mathematical Institute
University of Oxford
2019
MSc
Mathematical Modelling and Scientific Computing
University of Oxford
2014
BSc
Mathematics
Universität Bern
2012
BSc
Molecular Medicine
Georg-August-Universität Göttingen
2009
Récompenses
L’Oréal-UNESCO For Women in Science UK & Ireland Rising Talent Award
Mathematics and Computer Science
2022
Best talk in Data Science Session
Liverpool Early Career Researcher Conference
2019
Full doctoral scholarship
EPSRC & MRC
2014
Scholarship from the Czech government
BSc studies abroad at Charles University, Prague
2011
Publications
Sélection de publications
| BJ Stolz, J Kaeppler, B Markelc, F Mech, F Lipsmeier, RJ Muschel, HM Byrne, HA Harrington Science Advances 8 (23), 2022 |
Multiscale topology characterises dynamic tumour vascular networks |
| BJ Stolz, J Tanner, HA Harrington, V Nanda PNAS 117 (33), 2020 |
Geometric anomaly detection in data |
| BJ Stolz Journal of Machine Learning Research 24 (90), 2023 |
Outlier-robust subsampling techniques for persistent homology |
| S Chulian, BJ Stolz, A Martinez-Rubio, C Blazquez Goni, JF Rodriguez Gutierrez, T Caballero Velazquez, A Molinos Quintana, M Ramírez Orellana, A Castillo Robleda, JL Fuster Soler, A Minguela Puras, MV Martínez Sánchez, M Rosa, VM Pérez-García, HM Byrne PLOS Computational Biology 19 (8): e1011329, 2023 |
The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia |
| BJ Stolz, T Emerson, S Nahkuri, MA Porter, HA Harrington Journal of Physics: Complexity 2(3), 2021 |
Topological data analysis of task-based fMRI data from experiments on schizophrenia |
| JT Nardini, BJ Stolz, KB Flores, HA Harrington, HM Byrne PLOS Computational Biology 17 (6), 2021 |
Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis |
| H Ryou, K Sirinukunwattana, A Aberdeen, G Grindstaff, BJ Stolz, HM Byrne, HA Harrington, N Sousos, AL Godfrey, CN Harrison, B Psaila, AJ Mead, G Rees, GDH Turner, J Rittschner, D Royston Leukemia, 2022 |
Continuous Indexing of Fibrosis (CIF): Improving the Assessment and Classification of MPN Patients |
| BJ Stolz, J Dhesi, JA Bull, HA Harrington, HM Byrne, IHR Yoon arXiv: 2308.06205, 2023 |
Relational persistent homology for multispecies data with application to the tumor microenvironment |