Inventing tools for discovery — at the interface of biology and code

I'm a bioinformatician with a background in evolutionary biology, passionate about building software that helps researchers ask the right questions — and discover valuable answers. Whether it's large-scale comparative genomics, phylogenomics, or crafting custom pipelines, I thrive on turning complex biological challenges into efficient computational solutions. Driven by curiosity, guided by reproducibility, and powered by Python, I enjoy collaborating across disciplines to push science forward — one algorithm at a time.

Biology is full of complex questions.
I build the tools to help answer them.

From unraveling evolutionary mechanisms to designing robust, reusable software for genomics and beyond — my work bridges data and discovery, always with a focus on open, reproducible, and scalable science. I collaborate across disciplines to turn messy, massive datasets into clear biological insights — and I believe that making these insights visible and understandable is just as important as generating them. Effective visualizations and clear communication are central to how we learn from data and share scientific progress. Explore my research, tools, science communication, and teaching to see how code and curiosity come together in my projects.

Get in touch:

If you're interested in my work, want to collaborate, have questions or want to discuss science, please don't hesitate to contact me.
e.dohmen(at)uni-muenster.de