Carina Geldhauser

Institution

ETH Zurich

Mathematics

ETH Zurich
Department of Mathematics
Rämistrasse 101
8092 Zurich
Switzerland

Research Interests

Mathematics and Applications

mathematical modelling: gradient flows, reaction-diffusion equations, interacting particle systems,
models of large-scale geophysical flows, such as ocean eddies, atmospheric turbulences (in particular vortices)
mathematical foundations of deep learning
Applications include monitoring of atmospheric pollutants, material sciences, signal processing and neuroscience

Machine Learning

mathematical foundations of deep learning
Machine Learning methods in Digital Humanities, in particular digital manuscriptology and computational biblical studies. Methods include
- Handwritten Text Recognition
- Named Entity Recognition
- Annotation

Ethics (Systematic Theology)

Descriptive Ethics
Ethics of technology, in particular AI ethics

Topics to speak on:

AI Ethics, Artificial Intelligence, Fundamental Research, Diversity, Equal Opportunities

Biography

Carina Geldhauser studied mathematics, philosophy and protestant theology at the University of Tübingen, Scuola Normale Superiore di Pisa and Ecole Polytechnique. She earned a Ph.D. in Applied Mathematics from Bonn University. Her career in research, teaching and science communication brought her to work in 3 continents, before she eventually settled at ETH Zurich as a Senior Scientist.

Carina Geldhauser conducts fundamental research on mathematical models for phenomena in physics, biology and machine learning and cross-disciplinary research in machine learning. The “applied” side of her work includes CO2 pollution monitoring, digital manuscriptology and reliable AI.

As a trained philosopher and theologian, she works and publishes also on the pressing questions of our time in ethics of technology, i.e. AI ethics.