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I started as a trained audio technician, worked in the film industry, and then studied physics, where I did a Bachelor’s and Master’s thesis in Geophysics, started my Ph.D. program in classical nanoparticle research, worked briefly as a machine-learning engineer, and completed my doctorate in nonlinear quantum optics, and deep learning. Then, I did my first PostDoc at ETH Zurich, leading a small team working on deep learning in coherent diffraction imaging. Currently, I am doing my second PostDoc in an animal ecology group building Transformer-based models for bioacoustics.
I was awarded “Outstanding Reviewer” by IoP Nanotechnology. I have peer-reviewed multiple Journals for IoP and Springer Nature, including “Machine Learning: Science and Technology” and “Nature Communications.”