Yiang Li is a PhD student in Sociology at the University of Chicago. He is also a Predoctoral Trainee in NIA T32 Program in the Demography and Economics of Aging at the Center on Healthy Aging Behaviors and Longitudinal Investigations (CHABLIS) and a Student Affiliate at the Stone Center for Research on Wealth Inequality and Mobility at the University of Chicago.

His research broadly focuses on: Social Demography, Health, Family, Neighborhoods, and Statistical Methods. His current topics of investigation use statistical and/or computational techniques to 1) examine how social contexts of the family and neighborhood affect human well-being over the life course; 2) uncover the early-life precursors and underlying social mechanisms, such as gendered expectations and racial biases, that shape, perpetuate, and reproduce health and social stratification from one generation to the next using temporal and developmental perspective; 3) utilizing comparative approach to study variegated social processes along the life course led to diverging population health trajectories.

Yiang received his MA in Computational Social Science from the University of Chicago in 2024 and BSc (First Class Hons) in Social Sciences with Quantitative Methods from University College London (UCL) in 2022.

His research work has been published in Social Forces, Lancet Regional Health, and Journal of Computational Social Science, among other peer-reviewed journals.

Yiang can be reached via email: yiangli@uchicago.edu and his CV can be found here.