Applications of machine learning in option theory

I research machine learning methods for Finance. More specifically, I develop fast and accurate methods for option valuation and calibration. In my research, I combine classical option theory methods with modern methods such as neural networks, tree regression, and differential machine learning to produce powerful tools for trading and risk management. I hope these tools can improve solutions to complex, real-world problems, changing the world.