Computational biology,
with an engineer’s mindset.

I’m a bioinformatics scientist with expertise in computational biology, machine learning and algorithm development. I build computational methods that analyze complex biological data, combining classical statistical learning with deep-learning architectures to solve challenging problems in genomics and molecular biology.

Currently at Roche, I develop bioinformatics solutions for next-generation sequencing applications, with a focus on secondary-analysis pipelines. My interests span machine learning in genomics, pipeline optimization and novel computational approaches for high-throughput sequencing data — making complex genomic analyses more accurate and efficient.