ms3268 at cornell dot edu
2 West Loop Road
New York, NY 10044
Google scholar page
I am a fifth year Ph.D. student in Operations Research and Information Engineering at Cornell Tech where I am advised by Huseyin Topaloglu. I will be on the academic job market this year (2019-2020). I will be presenting in the following sessions at the 2019 INFORMS Annual Meeting :
Sunday, October 20, 4:30 PM. Skagit 1. Session SD52. Approximation Algorithms for Network Revenue Management under Nonstationary Arrivals.
Monday, October 21, 11:00 AM. Skagit 1. Session MB52. Revenue-Utility Tradeoff in Assortment Optimization under the MNL Model with Totally Unimodular Constraints.
My research interests include algorithm design and revenue management. I am especially interested in resource allocation problems with applications in online marketplaces, urban mobility, and the sharing economy.
I received my B.A. in Math from Yale in 2013. I spent the following two years at Analytics Operations Eng. working in operations and management consulting. Please see my C.V. for details. I am supported by an NSF Graduate Research Fellowship.
Mika Sumida, Guillermo Gallego, Paat Rusmevichientong, Huseyin Topaloglu, and James Davis. First round major revision at Management Science.
Yuhang Ma, Paat Rusmevichientong, Mika Sumida, and Huseyin Topaloglu. Operations Research, Forthcoming.
Paat Rusmevichientong, Mika Sumida, and Huseyin Topaloglu. Management Science, Forthcoming.
Seattle dataset available here.
Mika Sumida and Huseyin Topaloglu. INFORMS Journal on Computing, 31:1, 83-99, 2019.