From May 2020, joined the Chair of Experimental Bioinformatics at TU Munich as a postdoc. I analyze proteomics data from Alzheimer's disease patients for the CLINSPECT-M project and participate in the development of federated machine learning methods. Currently, I am finishing my PhD at DiDy Research Training Group, Bielefeld University under the supervision of Ralf Hofestaedt and Martin Ester (Simon Fraser University, Canada). During my PhD studies, I worked on the development of a novel network-constrained biclustering method and its application on breast cancer expression data. In 2018 I did 9-months visiting research at Simon Fraser University where I participated in the project on multi-omics data integration for drug response prediction.
In May 2021, I start as a PhD student at Cosy.Bio at the UHH. My current tasks include work surrounding the REPO-TRIAL drug repurposing project. In August 2020, I joined the Chair of Experimental Bioinformatics at TUM for the thesis of my Bioinformatics master's degree.There, I focused on the development of a web application for the analysis and exploration of heterogeneous molecular disease networks.
I’m a PhD candidate at Cosy.Bio since April 2021. I studied Computer Science at TUM and gained some experience with ligand binding site prediction in a project at Rostlab and as a research assistant on Human T-cell Immunology at Zielinski Lab. I joined the Chair of Experimental Bioinformatics at TUM to work on exon-speciﬁc differences in microRNA regulation due to alternative splicing for my Master’s thesis. Currently I'm interested in the study of alternative splicing in transcription factors.
From May 2021, I will start as a PhD candidate at Cosy.Bio at the University of Hamburg. After joining the Institute of Computational Biology (ICB) at Helmholtz Zentrum München, where I worked on single cell RNA seq analysis during my master internship, I extended my collaboration to work on a machine learning project with tensorflow 2. My interest in machine learning led me to the Chair of Experimental Bioinformatics at the Technical University of Munich for my master thesis, where I worked on node centrality measures for disease module identification to create new algorithms for use in drug repurposing.
In the future I will work on the development of a platform for integration of research and clinical data and interlink them with bioinformatics, machine learning and simulation models.
I am a PhD student at the Chair of Computational Systems Biology at the University of Hamburg. My research interests revolve around regulatory interaction networks. I received a Bachelor's degree in Bioinformatics at the Goethe University in 2018 in Frankfurt, followed by a Master's degree in Bioinformatics at the TUM and LMU in Munich in 2021. I finished my Master's thesis creating CADDIE, a web application for drug-repurposing in cancer. In 2019/20, I spent one year at the University of Helsinki. During my studies, I was working in different tech startups doing software development and software engineering.