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Member Profiles List

Explore researchers, clinicians, and professionals shaping the future of AI in Health. Browse member profiles, discover areas of expertise, and connect with individuals across the network.

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I am a Lecturer at the Human Interface Technology Lab (HIT Lab NZ) at the University of Canterbury. My research addresses individualised interactions between humans and intelligent virtual agents, enabled by recent advances in the field of artificial intelligence. Such agents can be purely text-based, voice-based, or embodied by utilising technologies such as augmented reality and virtual reality. By taking a user-centred perspective, the overarching aim is to design human-AI interfaces that are valuable, efficient, and safe for users.

Susanne Schmidt

Lecturer

HIT Lab NZ, University of Canterbury

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I am a health researcher and clinician involved in health systems research that aims to improve access to care in the Pacific. Currently, as a doctoral candidate, I work with Cure Kids Fiji, the University of Auckland, and the Fiji Ministry of Health and Medical Services to explore the unmet needs of home oxygen therapy as a proxy to community-and-home-based care. In my role as a Professional Teaching Fellow, I work with academics and students to explore opportunities to embed rural health learning in the medical degree.

Shanjivan Padarath

Professional Teaching Fellow

The University of Auckland

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I am a New Zealand Registered Nutritionist and Clinical Writer at the Immunisation Advisory Centre (IMAC), University of Auckland. My work focuses on clinical research, evidence synthesis, and translating research into practice to support immunisation and public health. I joined the AI in Health Research network to stay current with advances in AI and learn how to apply them responsibly to improve the efficiency and quality of health research while ensuring privacy, data security, transparency, and ethical practice.

Elisa Weiss

Clinical Writer

Immunisation Advisory Centre

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I came to Massey University from clinical medical practice in Ireland, Australia and New Zealand, completed a Master of Philosophy in Information Systems, and joined the Department of Information Systems as a lecturer in 1999. I am now employed as an Associate Professor in the Massey Business School. I worked part-time for Massey University and part time in clinical medical practice up to 2019. My research interests include health informatics, especially sharing of health data, data governance, ethical design, telehealth especially smart sensor technologies. As I have worked as both an academic and medical doctor, my research has an applied end-user focus, translating end-user research into clinical practice/health sector policy. With the increasing use of AI, my research interests now include AI as an enabling technology. I am a Fellow of ACHI and HiNZ and represent New Zealand on international digital technology organisations including IMIA and ISO.

Inga Hunter

Associate Professor

Massey University

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Rosie is a Psychologist and Associate Professor at the University of Auckland and Principal Advisor AI Research and Evaluation at Health NZ | Te Whatu Ora. She is a member of the National AI and Algorithm Expert Advisory Group for Te Whatu Ora, co-chair of the National AI in Health Research Network, and the AI Lead for the Faculty of Medical and Health Sciences at the University of Auckland.

Rosie Dobson

Associate Professor

University of Auckland

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**Governance** He brings extensive governance experience across regulated public-sector environments, strong strategic and stakeholder leadership capability, and a deep understanding of the challenges associated with stewarding critical infrastructure and delivering essential public services in regional and rural Aotearoa. While his professional background is often associated with digital, data, and AI governance, his core contribution is governance in complex systems. With extensive experience working alongside engineers, financial specialists, and operational leaders to oversee risk, compliance, long-term investment, and organisational capability. His governance roles frequently involve scrutiny of capital-intensive programmes, balance-sheet risk, and long-term sustainability, ensuring decisions are robust, future-focused, and publicly defensible. He also brings financial and financial sustainability, risk management, and regulatory compliance, reinforcing his practical understand

Karaitiana Taiuru

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Taiuru & Associates Ltd

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Alan is the Lead Data Scientist in PHF Science. His interest is in application of machine learning and data science techniques to public health for advancing our knowledge and deliver innovation to the sector. His current research interest is in developing and delivering digital twin technologies for understanding impacts of policies, events and initiatives on public health.

Alan Tan

Lead Data Scientist

PHF Science

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I am a Senior Lecturer and biomedical engineering researcher at Auckland University of Technology. My research focuses on wearable and non-invasive physiological sensing, biomedical signal processing, computational modelling and AI-enabled health monitoring. I work with multimodal signals including bioimpedance, ECG, EEG, PPG and impedance cardiography. My AI interests include multimodal data fusion, explainable machine learning, physics-informed AI, probabilistic modelling and personalised physiological assessment. My current health applications include cardiovascular monitoring, dementia and neurodegeneration, diabetic foot and chronic wound monitoring, and cardiometabolic health. I am particularly interested in developing AI systems that are clinically meaningful, physiologically grounded, robust to real-world variability and suitable for use in community and home settings.

Gautam Anand

Senior Lecturer

Auckland University of Technology

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Working in human-AI interaction research for interactive health technology. The aim is to make AI more usable for health context.

Simon Hoermann

Academic

University of Canterbury

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