Data Sciences and Operations
Marshall School of Business
University of Southern California
Paat Rusmevichientong is a Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. Prior to joining the Marshall School, he was a faculty in the School of Operations Research and Information Engineering at Cornell University. His research interests include data mining, information technology, and nonparametric algorithms for stochastic optimization problems with applications to market systems, supply chain, and revenue management. From 2003 through 2004, he worked in the data mining and personalization group at Amazon.com. He received BA (1997) in Mathematics from University of California, Berkeley, and MS (1999) and PhD (2003) in Operations Research from Stanford University. He is a member of INFORMS.
He has been a recipient of the University of California Regents' and Chancellor's Scholarship (1995-1997), the UC Berkeley Dorothea Klumpke Roberts Prize in Mathematics (1997), the Stanford Graduate Fellowship (1997-2001), the INFORMS George B. Dantzig Dissertation Award (First Prize, 2003), an Honorable Mention in the INFORMS Junior Faculty Interest Group Paper Competition (2006), the NSF CAREER Award (2008), the Cornell Sonny Yau '72 Excellence in Teaching Award (2008), the Cornell ORIE Professor of the Year Award (2009, 2011), the Operations Research Meritorious Service Award (2012), the USC Marshall Dean's Award for Research Excellence (2013), the USC Marshall Golden Apple Award for Excellence in Teaching Undergraduates (2013), the Evan C. Thompson Teaching and Learning Innovation Award (2015), and the USC Marshall Golden Apple Award for Excellence in Teaching MBA Electives (2016).