Rate My Professor Jerry Hsu

Hsu's research focuses on cognitive bias modification (CBM), developing digital self-administered tools to address interpretation biases in depression, paranoia, and ethnic stereotypes, particularly biases against Māori patients among medical students. Additional interests include avatar-facilitated evidential and clinical interviewing to enhance accessibility via eHealth and mHealth. Key publications encompass "The safety of digital mental health interventions: systematic review and recommendations" (JMIR Mental Health, 2023, 58 citations), "Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement" (BMJ Evidence-Based Medicine, 2025, 41 citations), "I have a dream: Altering medical students’ ethnic bias towards Indigenous population (NZ Māori) using cognitive bias modification" (Stigma & Health, 2025), and works on AI-automated CBM materials (International Journal of Mental Health, 2026) and visual enhancements for depression (Journal of Affective Disorders, 2026). With over 230 Google Scholar citations, his contributions advance digital mental health safety, AI applications, and healthcare equity. He lectures and facilitates tutorials for second- and third-year medical students on mental health, convenes the Psychological Medicine Vertical Module, coordinates Student Disability Services, and supervises PhD students. Awards include the 2022 Division of Health Sciences Accelerator Grant ($2,000) for CBM-Stereotype, University of Otago Research Grants, and the 2024 Otago Medical School Research Society Research Staff Award. A Full Member of the New Zealand Psychological Society, he contributes to psychological education and practice.