Published numerous papers on topics including parallel algorithms, graph processing, and clustering. One of the papers received the Best Paper Award at the SIAM International Conference on Data Mining (SDM), 2025.
Research Experience
Serves as an Assistant Professor at the University of Maryland, College Park, and works with the Graph Mining team at Google Research. Teaching experience includes courses such as CMSC858N (Scalable Parallel Algorithms and Data Structures) and CMSC451 (Design and Analysis of Computer Algorithms).
Education
Ph.D. from Carnegie Mellon University, advised by Guy Blelloch; Postdoc at MIT working with Julian Shun.
Background
Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and a research scientist at Google Research with the Graph Mining team. Broadly interested in efficient parallel algorithms, e.g., for parallel clustering and parallel graph processing.