Xiaoran Sun (孙潇然), Ph.D.

Xiaoran Sun (孙潇然)

Welcome to my website! I am an incoming assistant professor in the Department of Family Social Science, College of Education and Human Development, at University of Minnesota.

I am accepting graduate students for Fall 2022. I also welcome undergraduate and master’s students to collaborate on research. Please check the Prospective Students page for more information.

I am currently a postdoctoral scholar at Stanford University, affiliated with the Department of Pediatrics and Department of Communication, and in the Stanford Data Science Scholars Program. I obtained my PhD degree in Human Development and Family Studies from the Pennsylvania State University in August 2019, with a graduate minor in Social Data Analytics.

Research areas, Substantive: Family systems; Adolescent & young adult; Achievements & well-being; Technology & cultural contexts
Research areas, Methodology: Computational social science; Big data & machine learning; Longitudinal dyadic data modeling

See details about my research.



Grants & Awards

December, 2020– I was awarded the Postdoctoral Supprot funds from the Stanford Maternal and Child Health Research Institute (MCHRI)! Project Title: Examining implications of parent-adolescent digital communication for their relationship quality and adolescent mental health (i.e., “The Family Screenome Project”)

Recent Publications

Sun, X., Updegraff, K. A., McHale, S. M., Hochgraf, A. K., Gallagher, A. M., & Umaña-Taylor, A. J. Implications of COVID-19 school closures for sibling dynamics among Latinx children in the U.S.: A prospective, daily diary study. Manuscript in press, Developmental Psychology. (Sun and Updegraff had equal contributions.)
Sun, X., McHale, S. M., Updegraff, K. A., & Umaña-Taylor, A. J. (2021). Implications of Mexican-origin youth’s work experiences for relationships with fathers. Cultural Diversity and Ethnic Minority Psychology. [online first] https://doi.org/10.1037/cdp0000468
Sun, X., Ram, N., & McHale, S. M. (2020). Adolescent family experiences predict young adult educational attainment: A data-based cross-study synthesis with machine learning. Journal of Child and Family Studies, 29, 2770-2785. https://doi.org/10.1007/s10826-020-01775-5

Recent Talks

Sun, X. & Wang, Y. (2021, November). Typology of Research on Families and Technology: A Systematic Review. Workshop to be chaired at the TCRM conference at the National Council on Family Relations, virtual conference.
Love, B. & Sun, X. (2021, July). Big Data & Data Mining Approaches for Psychology Research. Invited talk for the UCL (University College London)-PKU (Peking University) Summer School in Experimental Design in Psychology. (Love and Sun had equal contributions)
Sun, X., Haydel, K. F., Matheson, D., Desai, M., & Robinson, T. N. (2021, April). Prospective study of mobile phone acquisition and ownership and well-being among low-income Latinx children. Poster presented at the Biennial Meeting of Society for Research in Child Development (SRCD), virtual conference. Download poster here
Sun, X., (2020, November). Family Dynamics in the Digital World: Qualitative and Quantitative Analyses of Data From Interviews, Social Media, and Smartphones. Symposium chaired at the National Council on Family Relations, virtual conference.
Sun, X., (2020, November). Introduction to Machine Learning for Family Research: Basic Concepts, Common Algorithms, and Application Examples. Workshop chaired at the National Council on Family Relations, virtual conference.
Download handout here

See the full list of publications & presentations