Felix Chan
About Felix Chan
Felix Chan serves as the Vice President of Analytics at Canary Medical Inc., where he has worked since 2020. He holds a Ph.D. in Physics from Yale University and has extensive experience in analytics and enterprise software development across various sectors.
Work at Canary Medical
Felix Chan has served as the Vice President of Analytics at Canary Medical Inc. since 2020. In this role, he focuses on implementing data-driven strategies to enhance the company's analytics capabilities. His responsibilities include managing teams of business managers, data scientists, and software engineers to develop and optimize analytics solutions. Chan's expertise in predictive modeling and rule-based systems contributes to the company's efforts in improving insurance rating processes and other applications.
Education and Expertise
Felix Chan holds a Bachelor of Science degree in Applied Math and Physics from the University of Wisconsin-Madison. He furthered his education by earning an MBA in Finance and Accounting from The University of Chicago Booth School of Business. Additionally, he obtained a Ph.D. in Physics from Yale University. His educational background supports his specialization in enterprise software development, particularly within the CRM, financial services, and life sciences sectors.
Background in Marketing Analytics
Prior to his current role, Felix Chan gained significant experience in marketing analytics. He worked as the Director of Marketing Analytics at Esurance from 2007 to 2012, where he focused on data analysis to optimize marketing campaigns. Earlier in his career, he served as a Marketing Manager at Progressive Insurance from 2003 to 2007. His background includes direct experience in enhancing yield in online, media, and direct mail marketing campaigns through data analysis.
Professional Experience in Data Science
Felix Chan has held several key positions in data science and analytics. He was the Senior Director of Data Science at Medidata Solutions from 2018 to 2020. Before that, he worked as a Senior Engineering Manager at Quantcast from 2013 to 2018, where he led engineering teams in data-driven projects. His earlier roles included being a Senior Product Manager at Siebel Systems and a Member of the Technical Staff at AT&T Bell Laboratories. Throughout his career, he has developed model-driven, real-time decisioning systems to enhance statistical computing capabilities.