I am a fifth-year Ph.D. candidate in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley, co-advised by Prof. Zuo-Jun (Max) Shen and Prof. Mariana Olvera-Cravioto. I am currently on the academic job market. My CV can be found here.
During my Ph.D., I spent two summers at IBM Thomas J. Watson Research Center. I received the 2019 IBM PhD Fellowship (16 total worldwide). Prior to joining UC Berkeley, I received a B.Sc. degree in Mathematics (Elite Program) from Xi’an Jiaotong University and graduated with the highest honor (10⁄30000) in 2015.
My research interests include:
- Stochastic modeling and data-driven decision making, with applications to the sharing economy and supply chain management
- Machine learning and sequential decision making, with a focus on recommendation systems and revenue management
- Applied probability and networks
I will be presenting the following three papers at the upcoming 2019 INFORMS Annual Meeting:
- Sequential Choice Bandits: Learning with Marketing Fatigue.
MA19, Monday, October 21, 8:00 am - 9:30 am, second talk, CC- Room 307
- Last-Mile Shared Delivery: A Discrete Sequential Packing Approach.
MB26, Monday, October 21, 11:00 am - 12:30 pm, fifth talk, CC-Room 4C-1
TE18, Tuesday, October 22, 4:35 pm - 6:05 pm, first talk, CC- Room 306
- Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem.
TE53, Tuesday, October 22, 4:35 pm - 6:05 pm, fourth talk, CC- Skagit 2
Contact: jycao AT berkeley.edu