Financial technologies with machine learning

Yan Ge

Machine learning has been applied to many areas (e.g., biology, medicine, physics) and achieved impressive performance. This project aims to design, develop, and implement machine learning techniques and apply such techniques to some financial tasks that are risk management, fraud detection and asset pricing to perform the quantitative analysis. This project will involve some aspects of deep learning to design new algorithms based on graph theory to tackle challenges in finance.