In 2019, I received my BSc in Molecular Biomedicine in Bonn, Germany, and pursued my master studies in Molecular Biosciences in Heidelberg, Germany. During this time, I focused on computational biology in translational biomedical research. I explored the field of single-cell transcriptomics as well as various deconvolution methods of bulk RNA sequencing data. I interned and worked at the DKFZ Heidelberg and at ETH Zurich. In my master thesis with the Schapiro lab, I assessed different spatial neighborhood analysis methods using in silico generated tissue data.
In my PhD, my goal is to decipher the spatial architecture of liver tumors using highly multiplexed imaging.
I conduct my PhD with Dr. Denis Schapiro and am an associate member with Julio Saez-Rodriguez.
My research is driven by understanding biological mechanisms in diseases, especially by leveraging spatial biology. I am fascinated by the vast amount of machine learning algorithms that can help us to achieve this goal. Therefore, I enjoy exploring and developing suitable computational methodologies to detect structural and functional units in tissue. Here, I understand the uniqueness of diseases and aim towards linking observations to prior knowledge about biological mechanisms or patient information.
2023-present | PhD candidate in the Schapiro group, Institute for Computational Biomedicine, Heidelberg University Hospital |
2023 | Master’s Thesis at the Institute for Computational Biomedicine, Schapiro group |
2022 | Research internship at the Department of Computer Science at ETH Zurich, Boeva group |
2022 | Research internship at Abbvie, Computational Neuroscience group |
2021 | Research Internship at the German Cancer Research Center Heidelberg, Froehling group |
2020-2021 | Student research assistant at the German Cancer Research Center Heidelberg, Scholl group |
2020-2023 | Molecular Biosciences, MSc., University Heidelberg |
2017-2020 | Molecular Biomedicine, BSc., University Bonn |