I am a software engineer with a background in biochemistry and biophysics. My work sits at the intersection of scientific computing, open-source software, backend systems, and developer tooling.
I started in experimental and computational biology, earning my Ph.D. in Biophysics at ETH Zürich, then transitioned into dedicated software engineering. That non-traditional path fundamentally shaped how I think about code: I believe software should act as a force-multiplier. Good tools should hide unnecessary complexity, making complex data and computational systems easier to understand, use, reproduce, and extend.
Currently, at **ETH Zürich**, I lead the engineering of production-grade open-source scientific software, primarily within the Rachis (formerly QIIME 2) bioinformatics ecosystem. In addition to contributing to core frameworks, my role involves establishing engineering standards around testing, documentation, thorough code review, CI/CD, and long-term maintainability, alongside mentoring junior developers and coordinating across institutional stakeholders.
Recently, I have been focused on exploring practical ways to make scientific software ecosystems easier to discover, navigate, and build on using structured metadata, retrieval-based documentation, and developer-facing tools. This includes building **Model Context Protocol (MCP)** metadata servers, creating provenance-aware terminal interfaces, and documenting reusable development patterns for open-source contributors.
I am interested in software engineering roles involving backend systems, developer tools, data-intensive systems, scientific computing, open-source ecosystems, and ML-adjacent infrastructure—especially in environments that value high code quality, developer productivity, and scientific rigor.
