Chang Liu

Chang Liu is an accomplished applied scientist with extensive experience in machine learning and data science. Currently serving as an Applied Scientist II at Amazon since September 2021, Liu specializes in causal and interactive machine learning for Sponsored Products. Prior experience includes roles at Intuit, where Liu progressed from a Data Scientist Intern to a Senior Data Scientist, focusing on personalized recommendation systems and developing models for financial services. Notable contributions include creating multi-class classification models and contextual bandit algorithms, along with a research paper accepted at the KDD 2020 Machine Learning in Finance workshop. Liu also has academic experience as a Research Assistant at the University of Alberta and has served as a Teaching Assistant for various computing courses. Educational credentials include a Master's degree in Computer Science from the University of Alberta, a Bachelor's degree in Applied Mathematics from Huazhong University of Science and Technology, and coursework in Computational and Applied Mathematics at the University of California, Berkeley.