Yongtian Cheng, PH.D.

Research experiences:

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My research lies at the intersection of quantitative psychology and supervised machine learning. I focus on developing and validating predictive models for psychological outcomes using high-dimensional, often longitudinal, datasets. My work combines simulation-based methodology, feature engineering, and penalized regression techniques to evaluate the stability, reproducibility, and practical utility of predictive algorithms in mental health contexts, including aggression, self-harm, and suicide risk assessment.