Teaching

Academic supervision of research students

Agnes Wang (she/her, 2026 – current) PhD candidate, human-in-the-loop AI systems in clinical applications (supervisor)

Sid Goyal (he/him, 2026 – current): PhD candidate, safety and evidence alignment of patient-facing AI systems (supervisor)

Lexuan Shao (she/her, 2024 – current): MPhil/PhD candidate, evidence transparency and health literacy in AI health systems used by the community (supervisor)

Amit Saha (he/him, 2024 – current): PhD candidate, fairness in health AI, especially multimodal models (supervisor)

Xumou Zhang (he/him, 2023 – current): MPhil/PhD candidate, applications of language models in health, focusing on retrieval augmented generation (co-supervisor)

Qixuan (Cody) Hu (he/him, 2024- current): Honours/PhD candidate, dialogue systems, language models, and applied health AI (co-supervisor)

Timothy Yu (he/him, 2024 – current): PhD Candidate, implementation of digital scribes in clinical practice (co-supervisor)

Huimeng Cao (she/her, 2026 – current): PhD candidate, impact of AI on clinical communication (co-supervisor)

Sirui Liu (she/her, 2025 – current): MPhil candidate, language models as judge in medical data (co-supervisor)

Farhana Pethani (she/her, 2022 – 2026): PhD candidate, applications of NLP in dentistry, focused on surveillance from clinical notes (supervisor)

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 (supervisor)

Emily Eom (she/her, 2025): Capstone research project student, Master of Digital Health and Data Science; patient-centered hospital discharge information for opioid medications (supervisor)

Alexa Gilchrist (she/her, 2024-2025): Honours candidate, machine learning models for admitted hospital patients with paracetamol poisoning (co-supervisor)

Michael Tang (he/him, 2024): fairness of AI-generated instructions for patients following discharge from hospital (supervisor)

Carol El-Hayek (she/her, 2020 – current): PhD candidate, applications of machine learning in medical records for surveillance of infectious diseases (co-supervisor)

Usman Naseem (he/him, 2020 – 2024): PhD graduate, applications of NLP in health, focused on extracting and classifying health information on social media (co-supervisor)

Aleney Khoo (she/her, 2022): honours graduate, applications of NLP to social media data, focusing on vaccine-critical posts (supervisor)

Bear Kruz (he/him, 2022): honours graduate, new approaches to federated learning with a focus on global health applications (supervisor)

Eliza Harrison (she/her; 2019-2020): MRes graduate, identifying health claims on social media sites (supervisor)

Samia Amin (she/her, 2017-2021): PhD graduate, the impact of online information about vaping on attitudes and uptake (supervisor)

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 (supervisor)

Rabia Bashir (she/her, 2016-2019): PhD graduate, improving methods for understanding when systematic reviews need to be updated (supervisor)

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: coordination, 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-current)

University of Sydney, Microcredential on AI in health: teaching delivery as a guest lecturer (2024-current)

Plus a range of other guest lectures for other Universities nationally or internationally.