I build new systems at the intersection of biology and computation. Affiliated with the Broad Institute, MIT’s Langer and Traverso Labs, and ETH Zurich, I build experimental and computational tools across clinical genomics, medical computing, and early cancer detection. Core goal: design systems that are fundamentally more performant, efficient, and insightful, to accelerate progress in computational biology and medicine.
Education
Awards, Honors, Work
Mission and Thesis
My research focuses on engineering more effective systems to understand and program biological processes. I build computational platforms for clinical genomics, metagenomics, and early cancer detection to make diagnostics and therapeutics fundamentally more powerful and efficient.
Making the Incomputable Computable
The brute force of computational scale is a solved problem. The next revolution is in attention—what we choose to compute and how. My work develops new computational paradigms to make massive-scale analysis orders of magnitude more efficient. This turns previously incomputable problems in genomics into tractable ones.
Recognition & Ventures
I am supported by the Swiss Study Foundation, an organization dedicated to promoting the top 0.3% of students. Other recent awards include the Best Thesis in Entrepreneurial Excellence award. Most recently, I’ve joined def/acc at Entrepreneur First.
Teaching & mentorship
I lead a graduate course on clinical genomics at ETH Zurich and mentor a cohort of bachelor’s students each term.
Decoding the Human Microbiome
We are living in a biological data revolution. The bottleneck is not a lack of data, but a lack of tools powerful enough to make sense of it. How can we translate the dense, complex data of the human microbiome into clear clinical signals? In this talk, I discuss how AI-controlled metagenomics could decode the human microbiome and turn it into a source of new digital biomarkers.
Interesting Things
Contact
I’d love to connect – please reach out!