Carnegie Foundation for the Advancement of Teaching

Angel Li serves as an associate on the Impact Lab team at the Carnegie Foundation, supporting improvement teams and networks in leveraging data and analytics for better outcomes for all students. She has led projects focusing on the development and use of practical measurement and has developed resources to facilitate capacity building in those areas. Prior to joining the Carnegie Foundation, Angel worked for Denver Public Schools (DPS) as an innovation and improvement specialist, holding the position of analytics lead of the College Ready On Track Network for School Improvement. In her time with DPS, she utilized her expertise in research and evaluation, as well as training in liberatory design and networked improvement science to guide network initiation and progress monitoring. Angel is passionate about integrating user-centeredness into data processes and is always curious about how to bring in those closest to the improvement work to lead disciplined inquiry. Her own iterative learning journey has resulted in publications in education, communication, psychology, and sociology. Angel’s collection of work has been cited over a thousand times. Angel holds a doctorate (Ph.D.) in psychology from the University of Hong Kong and a bachelor’s in psychology from the University of Michigan.