Academic Interests
My research interests lie in understanding key regulatory processes in biology, with the overarching goal to contribute to building a comprehensive picture of how biological systems function as co-evolving, dynamic and well-tuned environments.
In general, biological sciences often face the challenge of working with a vast and complex puzzle, moving top-down to uncover how all the pieces fit together and how systems are interconnected. In contrast, computer science can be seen as a bottom-up discipline where the individual components are well defined, and the possibilities of what can be built from them, such as technologies, models, and analytical frameworks, are still only partially explored, with much more potential to be realized in the future.
By bridging these two perspectives, I aim to contribute to a deeper understanding of biological processes such as the regulation of translation through innovative interdisciplinary approaches.
Background
I am a biologist with expertise in molecular biology, microbiology, bioinformatics and software development.
- Biology: Here I gained wet lab experience in investigating exoenzymatic capabilities of symbiotic bacteria, among others, during my Bachelor and Master studies.
- Bioinformatics: I have experience with Perl, Python, command-line tools, as well as bioinformatics workflows e.g. for SNP array data. I have worked extensively with R during my PhD time for the construction of data processing pipelines (e.g. for gut microbiome data) and for conducting statistical analyses like genome wide association studies. In addition, I have worked extensively with gene annotation resources (NCBI Refseq, UCSC, Ensembl) and network analysis tools such as cytoscape.
- Computer Science: I bring hands-on experience in training biLSTM models in TensorFlow and have over two years of experience in full-stack web application development for research software (Java Springboot, postgreSQL, HTML/JS/CSS, Docker, git).
Publications
Please find more information here.