Manage Decision Science and Artificial Intelligence Model Validation team from a variety of lines ofbusiness under firm’s model risk management policies, regulatory guidance, and industry best practices.The areas include decision science, natural language processing (NLP), fair lending and banking, financialcrime detection, fraud detection and marketing, etc.

Created and managed a new cross-functional model validation team for talent development and retention, by providing model validators extra opportunities in validating models across three quantitative validationdisciplines—capital market, decision science and artificial intelligence, and stress testing and balance sheet management.

Led the Statistical Modeling and Machine Learning R&D team, focusing on the research, development and implementation of cutting-edge models, methods and algorithms in advanced statistics, machine learning and artificial intelligence to advance the Bank’s practice in the areas of credit, operational, and market risk management.