Hanna Komlós
Graduate Student, Google Research Fellow,
NYU
Hanna Komlós is a PhD student at New York University advised by Martín Farach-Colton. Her research is primarily in data structures, particularly randomized and external-memory data structures and fundamental combinatorial primitives with data-structural applications. Her work also spans online algorithms, graph algorithms, and privacy.