About the Author
Kent Quanrud
Assistant professor
Department of Computer Science
Purdue University
West Lafayette, Indiana, USA
krq[ta]purdue[td]edu
kentquanrud.com
Assistant professor
Department of Computer Science
Purdue University
West Lafayette, Indiana, USA
krq[ta]purdue[td]edu
kentquanrud.com
Kent Quanrud is an Assistant
Professor of Computer Science at
Purdue University. He received his Ph.D. from the University of
Illinois at Urbana-Champaign in 2019, where he was advised by
Chandra Chekuri and
Sariel Har-Peled. He was born in
Japan and grew up in California. His research interests include
approximation algorithms, randomized algorithms, combinatorial
optimization, continuous optimization, online learning, and
computational geometry. He is particularly interested in extremely
scalable algorithms for fundamental problems in optimization.