Yuan Minghao

Ph.D. student · DACN Lab
Peking University, Beijing

My name is Yuan Minghao (袁明昊). I am a Ph.D. student in the Depression and Anxiety Computational Neuroscience Lab (DACN Lab), mentored by Dr. Yujia Peng at Peking University. My research focuses on computational psychiatry and mental health, with particular interests in computational modeling, network analysis, and quantitative approaches to understanding human behavior and mental health. I am also interested in research methods on complex psychological systems, including causal inference, computational modeling, digital phenotyping, and behavioral data science (behavioromics).

I welcome collaboration opportunities on research related to mental health, computational psychiatry, quantitative methods, and related interdisciplinary topics.

Minghao Yuan

Education

Publications

† Equal contribution · * corresponding author. Full list on Google Scholar.

Projects

psychHypergraph
psychHypergraph implements information-theoretic hypergraph analysis for psychometric data, based on Marinazzo et al. (2024) and Possenti et al. (2026). The package provides tools for constructing psychometric hypergraphs, identifying synergistic and redundant higher-order interactions, centrality analysis, clustering, and visualization.
View on GitHub →

Services

Teaching Experience

Awards & Honors

Blog · Notes

Meta-Analysis Tutorial in R
A Chinese Meta-analysis tutorial in R language, based on Doing Meta-Analysis with R: A Hands-On Guide.
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RStan: the R interface to Stan
Chinese translation of RStan: the R interface to Stan, a vignette providing an introduction to fitting a model in RStan.
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Interests