This is an overview of my formal teaching and student supervision. If you are looking for information about the teams of academics (including line-management of academic staff in Biomedical Informatics and Digital Health, postdoctoral researchers, research assistants, research engineers, research project students) that I have managed or supervised in the past, please contact me for more details.
Academic supervision of research students
Sid Goyal (he/him, 2026 – current): PhD candidate, safety and evidence alignment of patient-facing AI systems
Lexuan Shao (she/her, 2024 – current): MPhil candidate, personalised health question-answer systems
Amit Saha (he/him, 2024 – current): PhD candidate, fairness in health AI, especially multimodal models
Farhana Pethani (she/her, 2022 – current): PhD candidate, applications of NLP in dentistry, focused on surveillance from clinical notes
Xumou Zhang (he/him, 2023 – 2024): MPhil/PhD candidate, applications of language models in health, focusing on retrieval augmented generation
Qixuan (Cody) Hu (he/him, 2024- current): Honours/PhD candidate, dialogue systems, language models, and applied health AI
Rawan Daas (she/her, 2025): Capstone research project student, Master of Digital Health and Data Science; quality and safety of information about antidepressants produced by generative AI tools
Emily Eom (she/her, 2025): Capstone research project student, Master of Digital Health and Data Science; patient-centered hospital discharge information for opioid medications
Alexa Gilchrist (she/her, 2024-2025): Honours candidate, machine learning models for admitted hospital patients with paracetamol poisoning
Michael Tang (he/him, 2024): fairness of AI-generated instructions for patients following discharge from hospital
Carol El-Hayek (she/her, 2020 – current): PhD candidate, applications of machine learning in medical records for surveillance of infectious diseases
Usman Naseem (he/him, 2020 – 2024): PhD graduate, applications of NLP in health, focused on extracting and classifying health information on social media
Aleney Khoo (she/her, 2022): honours graduate, applications of NLP to social media data, focusing on vaccine-critical posts
Bear Kruz (he/him, 2022): honours graduate, new approaches to federated learning with a focus on global health applications
Eliza Harrison (she/her; 2019-2020): MRes graduate, identifying health claims on social media sites
Samia Amin (she/her, 2017-2021): PhD graduate, the impact of online information about vaping on attitudes and uptake
Maryke Steffens (she/her, 2017-2021): PhD graduate, how organisations manage and understand vaccine misinformation in practice, and methods for improving how misinformation can be countered
Rabia Bashir (she/her, 2016-2019): PhD graduate, improving methods for understanding when systematic reviews need to be updated
Teaching and curriculum development
University of Sydney, Master of Digital Health and Data Science: development, curriculum design, oversight, assessment design, unit coordination, teaching delivery (2021-current)
University of Sydney, BIDH5001/BIDH5002 Digital Health and Data Science Project: coordination, curriculum design, capstone project organisation and supervision, delivery, assessment design, marking (2024-current)
University of Sydney, QBUS5015 Foundations of Health and Civic Analytics: teaching delivery, curriculum design, assessment design, marking (2021-current)
University of Sydney, SOMS4101 Research Skills for Medical Sciences: teaching delivery in data analysis and visualisation, curriculum design, workshop delivery, assessment design, marking (2021-2025)
University of Sydney, MEDS1001, MEDS2001, MEDS3001, BIDH3008, PCOL3888, MEDS3888, BIDH5000: teaching delivery as a guest lecturer (2020-2025)
University of Sydney, Microcredential on AI in health: teaching delivery as a guest lecturer (2024-2025)
Plus a range of other guest lectures for other Universities nationally or internationally.
Professor Adam G. Dunn 