Summary
Xiaoran Sun is an Assistant Professor at the University of Minnesota who studies how adolescents and parents use digital media and how those interactions shape relationships and well-being. With eight years of experience spanning a PhD in Human Development and Family Studies and postdoctoral work at Stanford in Pediatrics, Communication, and Data Science, she blends developmental theory with cutting-edge methods like passive sensing, time-intensive longitudinal designs, machine learning, computer vision, and NLP. Her work, funded by NIMH and the Spencer Foundation, sits at the intersection of behavioral science and digital measurement, translating complex sensor and textual data into insights about family dynamics. As core faculty in a learning informatics lab and affiliate of interdisciplinary centers, she pairs rigorous quantitative methods with practical implications for youth mental health and media use policy. An investigator originally trained in psychology at Zhejiang University, she brings a global perspective and practical translational focus to her methodological innovations.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Human Development and Family Studies General, Doctor of Philosophy - PhD Human Development and Family Studies General at Penn State University
Bachelor of Science - BS Psychology, Bachelor of Science - BS Psychology at Zhejiang University