Skip to main content Skip to secondary navigation

Student Spotlight: Xueye Ping

Main content start

September 12, 2022

Meet Xueye Ping
Incoming PhD student

Wuxi, China

Oxford, United Kingdom

University of Oxford
University of Liverpool

Master's, Mathematical and Computational Finance
Bachelor's, Mathematics

Academic and work experience

During my master’s degree in Mathematical and Computational Finance at the University of Oxford, I developed a particular interest in stochastic modeling and data-driven modeling in finance. The aspiration to seek further study in this area increased when I was writing my master’s dissertation, where I investigated the risk and return profiles of pairs trading strategies through their connections with excursions of trading signals. After graduation, I worked as a quantitative research intern for one year and did several projects about applying machine learning tools to big-data problems regarding empirical risk management and asset pricing. I am enthusiastic to further explore the intersection of mathematics, finance and computer science, with a focus on statistical and machine learning approaches. This is aligned with the interdisciplinary nature of Management Science & Engineering at Stanford.

Impact I hope to have in my field and the world

The advent of massive financial data is radically changing the financial sector. It is imperative to take advantage of big data analysis and data-driven modeling to improve decisions in complex financial environments. I hope I can develop stronger analytical and computing skills during my PhD in MS&E, then leverage my expertise in quantitative modeling in finance to propose more efficient approaches to decision-making problems in the financial industry.

Interests and hobbies

I am totally a foodie and enjoy exploring new food and new restaurants. I love traveling as well as photography. I also like playing the piano and running.

Meet the 2022 incoming PhD cohort