Ruyi Liu-homepage
Room 2072 @
The Anita B. Lawrence Centre,
Kensington Campus, Sydney
Lecturer, School of Math & Stats , UNSW Sydney
Email: ruyi.liu2@unsw.edu.au
My research interests:
- Stochastic Control (Game)
- (Backward) Stochastic Differential Equations
- and their Applications in real-world markets
My research focuses on stochastic control and (backward) stochastic differential equations (BSDEs/FBSDEs), with applications to real-world markets—including finance, commodities, and electricity systems. I develop analytical frameworks to solve optimal stopping/control problems, particularly those involving stock trading strategies and financial derivatives pricing under market/hazard risks. Additionally, I also investigated the existence, uniqueness, and regularity for complex BSDEs/FBSDEs arising in the topics above.
If you have any questions regarding my research or want to collaborate feel free to contact me anytime. I am looking for highly motivated students, feel free to drop me an email with your CV.
Employment
University of New South Wales, Sydney
Lecturer, School of Mathematics and Statistics, 2025-
Hong Kong Polytechnic University
Resaerch Fellow, Stochastic control/stopping problems, 2024-2025
The University of Sydney
Postdoc, Vulnerable option pricing and related BSDEs ,2021-2024
Education
Shandong University
PhD, Financial Mathematics, 2020
BSc, Mathematics & Statistics, 2014
Updates
| Aug, 2025 | Our work “Pairs trading: An optimal selling rule with constraints” is published online by Communications in Mathematical Sciences |
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| Jul, 2025 | Our work “Optimal Information Disclosure In A Stackelberg Game” is accessible online |
| Jul, 2025 | Officially started the Lecturer role at Math & Stats School @ UNSW. |
| May, 2025 | Our work “Vulnerable European and American options in a market model with optional hazard process” is accepted by Finance and Stochastics |
| Feb, 2025 | Our work “Data-Driven interval robust optimization method of VPP Bidding strategy in spot market under multiple uncertainties” is published by Applied Energy |