Prof Jing Sun is a distinguished professor and chair of biostatistics at Charles Sturt University, Australia. She is an internationally recognized expert and leader. She leads a large scale Chronic Diseases/Mental Illness randomised controlled trials and cohort studies focusing on the prognosis and treatment of patients with cardiovascular disease, diabetes and mental disorders in the era of effective lifestyle based rehabilitation and cognitive behavioural therapy. Her other research interests include global maternal and preterm infants health, and prevention of birth defect, and global burden of disease program. 

In the past four years, Prof Sun and team has attracted over 8.5  millions Australia Dollars research funding in the health and medical research area, in particular focusing on the health inequality research in global, regional and local level while simultaneously applying big data analytical approach, ranging from multi-level analysis, meta-analysis, Bayesian approach, time series, S16 Sequencing, neuroimaging, to machine learning and deep learning methods for global, national and large clinical and survey data. Her research in health inequality research focuses on sustainable developmental goal and advocate for the positive health outcome of left-behind children, children and mothers in low and middle income countries, people with chronic diseases in order to reduce the health inequality due to quality of health care services. She has published over 295 esteemed journal publications.  She has supervised 11 PhD students as principal supervisor and 10 PhD students as co-principal supervisor to completion, 4 international visiting fellows, and 40 research master degree students to completion since 2010.

Her major achievements are recognized as:

1. Elected Distinguished Fellow of International Engineering and Technology Institute (IETI), (2023-)
2. Accredited Statistician of Australia Society of Statistics (2021-)
3. Senior Fellow of Higher Education Academy (SFHEA)
4. Elected President of Australia Society of International Engineering and Technology Institute
5. Elected President of Queensland Chinese Association of Scientists and Engineers (2019-2021)
6. Elected Vice-President of Federation of Chinese Scholars Australia (2019-present)
7. Collaborator with Bill Gates Foundation Funded Global Burden of Disease Research Program
8. Five conference chairs since 2016, and more than 40 plenary, keynote and invited presentations in conferences.
9. Supervised 11 PhD students to completion as a principal supervisor, and 10 PhD students to completion as co- supervisor
10. Being an editor-in-chief for one reputable international journal and associate editor for 10 esteems international journals.

Since 2004, Prof. Sun has made continuous and significant contributions to the following areas:

Lifestyle and Cognitive Behaviour Therapy Approach to Improve Health in Patients with Chronic Disease and Mental Disorders

• Group and individual based therapy to patients with schizophrenia, patients with obsessive compulsive disorders
• Group based intervention to patients with diabetes and comorbidities
• Patients with sleep disorders
• Employees with sick leave and intervention to support employees with sick leave to return to work

Big Data and Biostatistics in Global Burden of Disease and Child Health Research

• Prediction of diabetes, mental disorders, injury, child mortality, multiple sclerosis using novel big data analytics, machine learning and deep learning approach in 204 countries at global level
• Development of bioinformatics methods in analysing characteristics of microbiota in biological sample in preterm born infants and children
• Left-behind children and support system development in rural China

Digital Health and Application of Wearable Technology in Chronic disease Prevention and Mental Health Promotion

• Development of monitoring system using Internet of Things technology to monitor health condition in patients with chronic diseases including hypertension, cardiovascular disease, and diabetes
• Wearable technology devices design including blood pressure, pulse oximeter, body weight, fat, BMI measurement through devices and real time data collection.