CV

Education

• Ph.D. in Computer Science, The University of Sydney, Sydney, Australia, 2026–Present (current)

• M.Phil. (Engineering) in Computer Science, The University of Sydney, Sydney, Australia, 2026

• B.E. (Honours) in Software Engineering, Major in Computer Engineering, The University of Sydney, Sydney, Australia, 2024

Research experience

• Jun 2026 – Present: Data Research Analyst (Part-time)
  • Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
  • Project: Neurofibromatosis (NF1) AI Imaging Analysis
• May 2024 – Present: Researcher
  • Biomedical Data Analysis and Visualisation (BDAV) Lab, School of Computer Science, The University of Sydney, Sydney, Australia
  • Supervisors: Prof. Jinman Kim, Dr Usman Naseem, Prof. Adam G. Dunn
• Nov 2023 – Feb 2024: Research Intern
  • Garvan Institute of Medical Research, Sydney, Australia
  • Supervisor: Prof. Joseph Powell (worked with Dr Anna Cuomo and James Ferguson)
• Jan 2023 – Nov 2023: Honours Student
  • School of Electrical and Computer Engineering, The University of Sydney, Sydney, Australia
  • Supervisors: Prof. Alistair McEwan, Dr Amanda Khamis, Dr Ingrid Honan

Work experience

• Feb 2025 – Present: Academic Tutor & Lab Demonstrator
  • The University of Sydney
  • SOFT3202 Software Construction and Design 2 (S1 2026)
  • QBUS5015 Foundations of Health and Civic Analytics (S1 2026)
  • ELEC5618 Software Quality Engineering (S1 2025)
• Nov 2022 – Feb 2023: Student Engineer Consultant — Client: AirTrunk
  • Jacaranda Flame Consulting

Publications

Intersectional fairness in vision-language models for medical image disease classification

Yupeng Zhang, Adam G. Dunn, Usman Naseem, Jinman Kim. (2026). "Intersectional fairness in vision-language models for medical image disease classification." npj Digital Medicine. doi:10.1038/s41746-026-03030-5

A scoping review of explainable artificial intelligence for medical multimodal data

Kaiyuan Hu, Xingyue Fu, Yupeng Zhang, Adam G. Dunn, Jinman Kim. (2026). "A scoping review of explainable artificial intelligence for medical multimodal data." npj Digital Medicine. doi:10.1038/s41746-026-02953-3

Real-time video analysis of eating behaviour biofeedback system in children with cerebral palsy

YU. Zhang, AL. McEwan, AM. Khamis, IN. Honan, JI. Sun. (2023). "Real-time video analysis of eating behaviour biofeedback system in children with cerebral palsy." TIMIC Third International Motor Impairment Conference, Sydney, Australia.