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Prof. Dr. Jan Hasenauer

Member, Steering-Committee Member

Life and Medical Sciences Institute (LIMES) and Hausdorff Center for Mathematics

Hausdorff Center for Mathematics - HCM Room 2.003 Villa Maria, Endenicher Allee 64 53115 Bonn

jan.hasenauer@uni-bonn.de

+49 228 7369446

Website

Our interdisciplinary research unit develops and applies computational methods for the analysis of complex biological processes. We focus on methods facilitating the model-based integration of different datasets, the critical assessment of the availableinformation, the comparison of competing biological hypothesis and the tailored selection of future experiments. Following thephilosophy of Galileo Galilei: "Measure what can be measured, and make measurable what cannot be measured.", we usemodels to reconstruct properties of the system which cannot be assessed experimentally. This results in an improved holisticunderstanding of biological systems. We apply these methods to study cellular signal processing, cell-to-cell variability, and tissueorganisation.

Recent publications

  • Assessment of uncertainty quantification in universal differential equations.

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

    Authors: Nina Schmid, David Fernandes Del Pozo, Willem Waegeman, Jan Hasenauer

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  • DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform.

    Bioinformatics advances

    Authors: Demetris Avraam, Rebecca C Wilson, Noemi Aguirre Chan, Soumya Banerjee, Tom R P Bishop, Olly Butters, Tim Cadman, Luise Cederkvist, Liesbeth Duijts, Xavier Escribà Montagut, Hugh Garner, Gonçalo Gonçalves, Juan R González, Sido Haakma, Mette Hartlev, Jan Hasenauer, Manuel Huth, Eleanor Hyde, Vincent W V Jaddoe, Yannick Marcon, Michaela Th Mayrhofer, Fruzsina Molnar-Gabor, Andrei Scott Morgan, Madeleine Murtagh, Marc Nestor, Anne-Marie Nybo Andersen, Simon Parker, Angela Pinot de Moira, Florian Schwarz, Katrine Strandberg-Larsen, Morris A Swertz, Marieke Welten, Stuart Wheater, Paul Burton

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  • Loss formulations for assumption-free neural inference of SDE coefficient functions.

    NPJ systems biology and applications

    Authors: Marc Vaisband, Valentin von Bornhaupt, Nina Schmid, Izdar Abulizi, Jan Hasenauer

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