Jim Warren is Professor of Health Informatics at the University of Auckland. He is interested in innovative IT to improve healthcare delivery, especially for long-term conditions, including cardiovascular disease and mental health. He is a Fellow of the Australasian Institute of Digital Health.

Malcolm is a specialist in medical informatics and AI. He has a medical degree from University of Adelaide and PhD in Medical Informatics from Stanford University. He is a founding fellow of the Australian College of Health Informatics. He co-founded Alcidion, an ASX listed health informatics company.

Tom Oluoch is a Health Scientist with the US Centers for Disease Control and Prevention (CDC) in Kigali, Rwanda. Over the last 25 years, he has supported the implementation and evaluation of large-scale eHealth systems in 14 African countries. His research interests are in clinical decision support systems and guidelines.

Dina Nur Anggraini Ningrum is an assistant professor in Public Health Department Universitas Negeri Semarang, She is epidemiologist with public health, health informatics, and biomedical informatics educational background. Her research are in health informatics and public health areas.

Wanting Cui is a data scientist at the Icahn School of Medicine at Mount Sinai. She specialises in big data analytics and machine learning as applied in the biomedical field. Her research area includes opioid treatment programs efficacy, telemedicine usage, and cancer survival.

My professional experience includes strong management, organisational and interpersonal skills needed to move any project forward. I’ve collaborated with scientists at partner institutions, led multiple projects, worked on multiple publications, and wrote multiple grant proposals

Xingyue Huo earned a Master's degree in biostatistics and bioinformatics from Rollins School of Public Health at Emory University. Xingyue is a research analyst at the Icahn School of Medicine at Mount Sinai and works with other professionals in the research area to support their practical training and research studies.

Dr Schuemie is a Research Fellow at Johnson & Johnson, and a (virtually) visiting scholar at the department of Biostatistics at UCLA. Within the Observational Health Data Science and Informatics (OHDSI), he leads the population-level causal effect estimation methods research, as well as the open-source software development.

Norm Good leads the Health Implementation Science Team at the Australian eHealth Research Centre (CSIRO) in Brisbane QLD. He has been a statistician with CSIRO for the past 16 years and has special interests in risk modelling, survival analysis and data visualisation.