Industry Experiences

• IBM.com AI for transportation. Yorktown Heights, NY. Manager: Markus Ettl
  Research Intern May 2022 - Aug 2022

  • Design the pricing strategy for the tickets of different seats in the logistic network.
  • Develop the demand function of customers in a time-series framework.
  • Optimizing the prices based on the demand model in a time-series framework.
  • Verify the proposed methods using airline booking data.

• Amazon.com Department of Supply Chain Optimization Technology. Seattle, WA. (Virtual)
  Research Scientist Intern June 2020 - August 2020

  • Developed the pricing strategy for used items sold at Amazon Warehouse
  • Adopted multinomial choice models and fit the demand function for different conditions of each item, assuming the common price elasticity across items within each group
  • Predicted the new arrival rate of used items with different conditions
  • Formulated the problem as a Markov Decision Process, and solve it by dynamic programming
  • Compared the new strategy with the benchmarks and estimate the improvement

Selected Awards

• INFORMS Workshop on Data Science Student Scholarship, 2023

• INFORMS Service Science Student Competition Finalist, 2023

• Duryea Fellowsship, IEOR department, UC Berkeley, 2021

• First Year Fellowship, IEOR department, UC Berkeley, 2019

• Outstanding Graduate in Beijing, 2019

• Excellent Graduate in Tsinghua University, 2019

• Outstanding Undergraduate Thesis Award, Tsinghua University, 2019

• National Scholarship, 2018