Wu Zhou

Wu Zhou is a data scientist with extensive experience in various companies. At The Globe and Mail, Wu utilized deep learning and reinforcement learning methodologies to improve the company's dynamic paywall product. As a Lead Data Scientist, Wu designed the knowledge graph project, which served as the core knowledge representation for the company. At TD, Wu built propensity models for marketing campaigns and tackled challenges in statistical modeling. With a background in machine learning and data clustering, Wu has a strong foundation in developing computational tools for complex data sets. Wu holds a PhD in Statistics from the University of Waterloo.