My research focuses on the development of scalable algorithms and data structures for genomics, spanning bioinformatics, pangenomics, antimicrobial resistance prediction, large-scale genome analysis, sequence compression, and machine learning. I work at the intersection of computer science, biology, and medicine, creating computational methods that enable the efficient analysis of increasingly large and complex biological datasets. My interests include leveraging advances in algorithms, high-performance computing, and artificial intelligence to address challenges in public health, infectious disease surveillance, and precision medicine.