Hello, and welcome 👋.
I develop computational approaches to study cancer evolution, epigenetic heterogeneity, and cell-state plasticity using single-cell genomics and multi-omic data. My work lies at the intersection of computational biology, cancer genomics, and statistical method development, with a broader interest in understanding how genetic and regulatory changes shape tumor progression and therapeutic response. I enjoy solving complex problems, whether mathematical, technical, or conceptual, and I value collaborative research, mentorship, and clear scientific communication. I am particularly interested in building rigorous, scalable, and reproducible computational tools that can generate meaningful biological insight. Outside research, I enjoy sports, mentoring students, and engaging with scientific and professional communities.
Check out my blog, where I share my thoughts on various topics.
Recent updates and news
- 2026 — “Evolving patterns of co-mutations from tumor initiation to metastatic progression” — accepted. Publication
- 2025 — Started postdoctoral research in the Lupien Lab, Princess Margaret Cancer Centre / University Health Network, Toronto. Position
- 2024 — Completed PhD in Quantitative Biology, University of Lausanne, Switzerland. Education
- 2023 — Best Poster Award, Basel Computational Biology Conference (BC2). Award
- 2023 — Co-authored “Whole-genome doubling drives oncogenic loss of chromatin segregation”, published in Nature. Publication