Welcome to Jiuchen’s Personal Website
I am a postdoctoral researcher in the Department of Biostatistics at the University of Michigan, working under the mentorship of Professor Peter X.-K. Song. I received my Ph.D. in Statistics in 2024 from the University of California, Irvine, advised by Professor Annie Qu. I previously earned an M.S. in Statistics from the University of Illinois Urbana–Champaign in 2018 and a B.S. in Mathematics and Applied Mathematics from the School of Mathematical Sciences at Zhejiang University in 2016.
My research develops statistical and machine learning methodology for high-dimensional and longitudinal data, with a focus on neural networks, data-adaptive models, and valid post-selection inference. I am particularly interested in applications to exposome modeling, environmental mixtures, and life-course child growth trajectories, motivated by problems in environmental health and mobile and wearable health studies.
Current focus: Interpretable neural network models and selection-aware inference for longitudinal exposome data and child growth outcomes.