During my undergraduate studies in Physics at the University of Munich (LMU), I first utilised quantitative data-driven approaches for biological challenges within my Bachelor’s thesis in the field of peptide sequencing. Using my analytical background, I employed novel machine learning methods to study the neuronal activity in neurodegenerative diseases as a Master’s student in Biotechnology at the University of Cambridge. Intrigued by the complexity of neurodegenerative diseases, I envision analysing the brain elasticity and neuronal activity correlatively in neurodegenerative diseases during my PhD in Biotechnology. This is achieved through developing multi-modal models on MRI data and electrophysiological recordings, which utilise computer vision and metric learning concepts. By highlighting both properties and possibly establishing a causal link, I hope to contribute to novel insights and progress in this field. This may lead to finding novel biomarkers for earlier diagnosis as well as unravelling unknowns in neurodegeneration, which is urgently needed for the devastating prospects for patients.
University of Cambridge Biotechnology 2022
Ludwig-Maximilians-Universitat Munchen Physics 2021