Xinyu Guo

I am a first-year PhD student at the University of California, Riverside, supervised by Prof. Holly O'Rourke. My research focuses on methodological innovations in quantitative and computational psychology and psychiatry, integrating causal inference and machine learning to extract reliable information from complex behavioral and clinical data and to develop tools that support rigorous scientific inference and decision-making.

我是加州大学河滨分校一年级博士生,导师为 Holly O'Rourke 教授。 我的研究聚焦于定量与计算心理学及精神病学中的方法学创新,将因果推断与机器学习相结合,从复杂行为与临床数据中提取可靠信息,并开发支持严谨科学推断与决策的工具。

Previously, I received my B.S. in E-commerce (Big Data) from Nanjing University of Chinese Medicine and my Master of Medicine from Sichuan University. I was a research assistant at the Hong Kong Polytechnic University, supervised by Daniel T.L. Shek.

此前,我于南京中医药大学获得电子商务(大数据)理学学士学位,于四川大学获得医学硕士学位。 我曾在香港理工大学担任研究助理,导师为 Daniel T.L. Shek

Xinyu Guo

News 动态

Sep 01, 2026 Joined UC Riverside as a PhD student with Prof. Holly O’Rourke. 已加入加州大学河滨分校攻读博士,导师为 Holly O’Rourke 教授。
Aug 03, 2026 Wrapped up my work with Prof. Daniel T.L. Shek’s P.A.T.H.S. team at PolyU—grateful for his mentorship and the team’s support. 结束了在港理石丹理教授 P.A.T.H.S. 团队的工作,感谢石教授的指导与团队的支持。
Jun 15, 2026 Our Responsibility Scale paper—development and psychometric evaluation—is now out in Frontiers in Psychology. Responsibility Scale 编制与心理测量学评估论文已发表于 Frontiers in Psychology
Jun 01, 2025 First-author paper on longitudinal ML for adolescent NSSI prediction out in Journal of Affective Disorders. 第一作者论文:青少年 NSSI 纵向机器学习预测,发表于 Journal of Affective Disorders
Apr 15, 2025 New paper: CRISP, a causal relationships–guided deep learning framework for ICU mortality prediction, in BMC Medical Informatics and Decision Making. 新论文:因果引导的 ICU 死亡预测深度学习框架 CRISP,发表于 BMC Medical Informatics and Decision Making
NSSI Research
Longitudinal machine learning prediction of non-suicidal self-injury among Chinese adolescents: A prospective multicenter cohort study
Guo, X., Liu, S., Jiang, L., Xiong, Z., Wang, L., Lu, L., ... & Daniel T.L. Shek
Journal of Affective Disorders, 2025, 120110. [Q1, IF: 4.9]
code / paper
Causal Analysis Research
Factors and pathways of non-suicidal self-injury in children: Insights from computational causal analysis
Guo, X., Wang, L., Li, Z., Feng, Z., Lu, L., Jiang, L., & Zhao, L.
Frontiers in Public Health, 2024, 12, 1305746. [Q1, IF: 3.4]
project / paper
CRISP Framework
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction
Wang, L., Guo, X., Shi, H., Ma, Y., Bao, H., Jiang, L., Zhao, L., Feng, Z., Zhu, T., & Lu, L.
BMC Medical Informatics and Decision Making, 2025, 25(1), 165. [Q2, IF: 3.8]
code / paper
COVID-19 Study
Life changes and symptoms of depression and anxiety among Chinese children and adolescents before, during, and after the COVID-19 pandemic lockdown: a combination of cross-sectional, longitudinal, and clustering studies
Zeng, Y., Song, J., Zhang, Y., Guo, X., Xu, X., Fan, L., Zhao, L., Song, H., & Jiang, L.
European Child & Adolescent Psychiatry, 2025, 34(3), 1025-1038. [Q1, IF: 4.9]
project / paper
Cognitive Impairment Research
Dynamic causal graph-based learning approach for predicting cognitive impairment in middle-aged and older adults
Wang, L., Guo, X., Zhou, Y., Li, Z., Jiang, L., Zhao, L., Feng, Z., & Lu, L.
In Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024, Vol. 46. [Conference]
paper
Granger Causality Study
Prediction of cognitive impairment in middle-aged and elderly people: A method based on Granger causality
Li, S., Wang, L., Guo, X., Shi, H., Ma, Y., Zhang, X., Feng, Z., & Lu, L.
In Proceedings of the 47th Annual Conference of the Cognitive Science Society, 2025, Vol. 47. [Conference]
paper
MDRO Study
Causality-Informed Models for Multidrug-Resistant Organism Prediction: Enabling Effective ICU Antibiotic Stewardship
Wang, L., Guo, X., Chen, Y., Li, S., Zhao, L., Feng, Z., & Lu, L.
International Journal of Antimicrobial Agents, 2026, 107767. [Q1, IF: 4.6]
code / paper
Academic Values Study
Academic values, academic anxiety, and non-suicidal self-injury in Chinese adolescents: A three-wave longitudinal study
Xinyu Guo, Peng, Y., Li, X., Zhao, L., Jiang, L., & Shek, D. T. L.
BMC Psychology, 2025. (Under review)

Project 项目

Several projects that I lead are listed below:

以下是我主导或共同负责的部分项目:

NSSI Research
Chengdu Positive Child Development (CPCD) Survey
Project Description

I directed the 5th wave of the survey, including coordination with participating schools and logistical planning and managed field surveys, data entry using Epidata, and ensured accuracy in preliminary data processing.

I independently conducted data matching, screening, cleaning, and missing value imputation for Waves 1-4, then developed a longitudinal machine learning model to predict adolescent NSSI, published in Journal of Affective Disorders, 2025.

Chinese General Social Survey (CGSS)
Chinese General Social Survey (CGSS)
Project Description

I co-led the 2023 Sichuan Province survey team, with responsibilities including project planning and coordination, field household interviews, and software management.

Chronic Disease and Health Literacy Survey
Chronic Disease and Health Literacy Survey

I led a chronic disease and health literacy survey across 7 Sichuan Province cities, organizing field data collection and interviews, analyzing and visualizing results, and preparing the research report for government departments.