Colin Xu, Ph.D.

Summary: My areas of research are on using statistical modeling to better understand psychological disorders, especially on the predictive modeling of psychiatric treatment outcomes, aggregation of epidemiological and clinical trial data, and modeling the processes of change over the course of treatments for depression.

Minimum Courses: Statistics, Abnormal psychology, Programming in R is preferred

Projects: Statistical modeling and machine learning techniques to understand the epidemiology of depression and PTSD. We are currently working on a DoD funded project examining biomarkers associated with PTSD risk. Techniques learned will be machine learning statistical model building, including regularized models, neural networks, natural language processing.
https://www.spokesman.com/stories/2026/jan/14/university-of-idaho-lab-gets-13m-for-machine-learn/