Huidong Liang

Quantitative Finance (2023 cohort)

My DPhil research aims to develop novel graph machine learning methods to solve both existing and future problems, with a particular interest in their financial applications such as fraud detection and financial regulation. I will be working with the Machine Learning Research Group and Oxford Man Institute of Quantitative Finance in my DPhil studies.

I was born and grew up in a small but lovely city in northern China before leaving home for college. I obtained my Bachelor Honours degree from the University of Sydney Business School majored in finance and business analytics, during which I was very fortunate to work with professor Junbin Gao on graph machine learning research. Then I moved to the UK to study for a master’s degree in statistics at Oxford, where I finished my master thesis on graph Bayesian optimisation with professor Xiaowen Dong and was very fortunate to become one of his DPhil students.

My biggest achievements in life are my full-of-love family, a group of good friends, and super nice supervisors!