Zhiyuan Liu
DPhil Candidate
Decision-making and artificial intelligence
Research Summary
My DPhil research investigates how clinicians make decisions under uncertainty when supported by Artificial Intelligence (AI). Specifically, I examine how confidence shapes advice-seeking behaviour and trust in different information sources within clinical decision-making. Drawing on insights from human–AI teaming research, the project aims to improve the communication of algorithmic uncertainty and support more effective, calibrated, and ethical integration of AI in healthcare. The project is supervised by Prof. Nick Yeung (ACC Lab) and Prof. Helen Higham (OxSTAR Centre), and is fully funded by the EPSRC DTP and the Clarendon Scholarship.
Prior to Oxford, I completed an M.P.H. in Social and Behavioral Sciences at Yale University and earned dual B.S. degrees in Behavioral Science and Psychology from Duke University and Duke Kunshan University. My earlier research experience includes work in psychophysiology, computational neuroscience, and eye-tracking.
Research groups
Key publications
Emotion Regulation Mediates the Link Between Exposure to Childhood Adversity and Transdiagnostic Symptom Domains in Youth
Journal article
Liu Z. et al, (2026), JAACAP Open
Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children.
Journal article
Hercules K. et al, (2025), Biol Psychiatry Glob Open Sci, 5
Race and gender biases in assessing pain intensity and medication needs among Chinese observers.
Journal article
Liu Z. et al, (2025), Pain Rep, 10
Recent publications
Emotion Regulation Mediates the Link Between Exposure to Childhood Adversity and Transdiagnostic Symptom Domains in Youth
Journal article
Liu Z. et al, (2026), JAACAP Open