With the rapid expansion of the available genomic and metagenomic sequencing data, design of scalable, robust, and principled methods for sequence analysis became a critical question at the intersection of computer science and biology. The scope of my research work aims to address these requirements by developing theory and algorithms, as well as implementing software that (a) scales to the amount of the available data, (b) maintains strong empirical performance on community benchmarks, and (c) provides provable theoretical guarantees. 

Currently, I am interested in principled mathematical characterization of evolutionary dynamics at scale including development of general methods for the inference of phylogenetic networks, and applications of phylogenetic methods in cancer biology. I am working on these questions under the supervision of Dr. Luay Nakhleh.