Kangli Wu

Kangli Wu is a seasoned data scientist with extensive experience across various industries, including roles at Aetna, Lyft, and Meta. During tenure at Aetna, Kangli Wu contributed to the Healthier Feet Project by performing predictive modeling and identifying trial cohorts. As a project manager at ArcheX, Kangli Wu led the design of a customer service app, analyzing substantial survey data to shape app functionalities. A data scientist intern at MilliporeSigma, Kangli Wu developed a content search tool utilizing NLP. In the role of senior data scientist at Lyft, Kangli Wu implemented an XGBoost model for the Renter Risk Model, significantly reducing accident costs. Prior consulting experience at PwC Hong Kong involved strategic IT planning for a major metro group. Kangli Wu holds degrees in Business Administration from Beijing Foreign Studies University and Memorial University of Newfoundland, as well as a Master’s in Health Data Science from Harvard T.H. Chan School of Public Health.