top of page
iStock-2160715346.jpg

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.

Select multiple options by reopening each dropdown:

No results found for the selected filters.
Filters: All

Fabián Labra-Spröhnle is a translational neuroscience researcher and experimental-system developer working at the intersection of neuroscience, psychiatry, cognitive science, and artificial intelligence. At Noologica, he provides scientific and conceptual leadership, directing the development of digital experimental methods for studying executive function and the organisation of behaviour over time. His role includes experimental design, behavioural phenotyping, analytical development, clinical translation, research strategy, ethics and funding applications, and coordination of international academic and clinical collaborations. He leads Noologica’s work on ADHD assessment, deep phenotyping, clinical triage, longitudinal evaluation, and personalised analysis, translating theoretical and experimental advances into clinically useful tools.

Fabián Labra-Spröhnle

Research Director

NOOLOGICA

View profile
I work at the intersection of disability support care and artificial intelligence, drawing on years of managing a residential care home and leading a team of 16 support workers. My focus is building practical, human-led AI tools that reduce admin burden for care workers, give families quiet peace of mind through pattern detection, and help clinicians navigate complex medical histories without replacing human judgement. I'm based in New Zealand and keen to connect with researchers, clinicians, and academics who share an interest in ethical, humble AI for disability and support care settings.

Chad Clarke

Operations Consultant

Matrix Core Advisors

View profile
Melanie is a health services researcher with experience in qualitative and participatory methods as well as evidence synthesis. She is interested in research to understand and improve healthcare AI implementation, including issues such as patient and clinician trust, transparency and consent, equitable use, and maintaining of human clinical skills.

Melanie Stowell

PhD Candidate

University of Auckland | Waipapa Taumata Rau

View profile
Jess Morgan-French is the founder of an equity-first, clinician-centred primary care practice management consultancy in Aotearoa New Zealand. Her work spans across primary and community care in Aotearoa. She holds an MBA and recently completed a doctorate in health science through AUT. Non-clinically trained, Jess built her expertise through hands-on practice management roles and national positions in the primary health sector, including at Collaborative Aotearoa and GPNZ. Jess chaired the Collaborative's AI in Primary Care working group for two and a half years, convening sector leaders on national data and digital priorities, and has deep networks across Primary care, PHOs, Health NZ and general practice. Jess identifies as a Te Tiriti o Waitangi leader and ally, with health equity at the centre of her practice and research.

Jess Morgan-French

Consultant

Results Rule Limited

View profile
Professor Gillian Dobbie is a leading New Zealand computer scientist whose research includes applying data science, machine learning and artificial intelligence to improve health outcomes. Based in the School of Computer Science at the University of Auckland, she has played a key role in developing data-driven approaches to healthcare through initiatives such as the Precision Driven Health partnership, which brought together researchers, clinicians, government and industry to advance personalised healthcare in Aotearoa New Zealand. Her health research focuses on the ethical and effective use of routinely collected health data, including projects on dementia prediction, healthcare resource planning and the responsible use of AI in clinical settings. Professor Dobbie is also a co-chair of the AI in Health Research Network, supporting collaboration to ensure AI technologies are safe, equitable and beneficial for all New Zealanders.

Gillian Dobbie

Professor

University of Auckland

View profile
I am a data science leader with over 10 years of experience in research, statistics, and experimentation across diverse industries. I founded Plotwise Labs to build data capabilities and uncover spatial health risks through a combination of remote sensing and machine learning. I am a published health economist in peer-reviewed journals, and I have extensive experience working with private and public sector partners across Asia, the UK, USA, and now New Zealand. My educational background includes a PhD in data science (ongoing), MSc and BS in economics, and technical certifications from Oxford, Harvard, and Stanford.

Regina Chua

Founder & CEO

Plotwise Labs

View profile
Artboard Black 1.png

Want to create a profile?

Connect with professionals, researchers and innovators in AI and Health

bottom of page