EpiRegio

I am a bioinformatician with a diverse background in analyzing genetic and epigenetic data. I have had the chance to work on a variety of projects since I joined the lab, like decoding the effect of non-coding variations, analysing GWAS data, and studying TF binding. Recently, my focus has been shifted toward spatial transcriptomics, which allows me to map genetic findings directly onto tissue architecture. I am motivated by the possibility that these data-driven insights might lead to a better understanding of complex diseases. In my free time, I love spending time in nature for hiking—it’s where the best ideas come to me!

I am a biologist by training that turned into a bioinformatician for the PhD. Since starting in the SchulzLab, I have been working on analysing a variety of data and their integration with a focus on the epignome, specifically interactions between regulatory regions and genes. I also have a love-hate relationship with chromatin contact data. What keeps me going is the variety of research questions that we work on to know more about human biology and its use in medicine. I am a big fan of Python and coffee.

I am a Computational Biologist by education. I develop computational systems biology models and machine learning algorithms that further the understanding of gene regulation. We work on groundbreaking computational methods that enable novel approaches for personalized medicine applications in the context of different human diseases. We live and breathe open-source development.