My interdisciplinary research interests lie in the application of High-Performance Computing to process scientific big data, especially those produced in computational genomics. Specifically, I focus on the increase in memory and execution times required in the de novo assemblies the ever-growing amount of genomic data. In addition to parallel and distributed computational techniques, I like to employ big data algorithms such as sketching and streaming.

In my current research project, I am dealing with similar problems encountered in processing metagenomes but working on solutions involving hardware accelerators which yield more performance per dollar while requiring less space and energy footprint.