معرفی
Daniel Lorber Rolnik is an Associate Professor in the Department of Obstetrics & Gynaecology at Monash University, Faculty of Medicine, Nursing and Health Sciences, and a Consultant in Maternal-Fetal Medicine at Monash Health, Australia. He is actively involved in clinical research and accepts PhD students through Monash’s Supervisor Connect program.
His educational background includes:
- Medical Doctor (MD), Faculdade de Medicina do ABC (Brazil), 2005
- Master of Science (MSc), University of São Paulo, 2013
- Diploma in Fetal Medicine, King's College Hospital, London, 2014–2016
- PhD in Prediction of Pre-eclampsia and its Prevention with Aspirin, Manchester Metropolitan University, 2018
- Master of Public Health (MPH) in Epidemiology, Harvard University, 2022
Daniel’s research focuses on Obstetrics and Gynaecology, particularly the prevention of pregnancy complications, prenatal diagnosis, and early pregnancy screening. He is a clinical epidemiologist with expertise in high-risk pregnancies and fetal medicine. His work has significantly advanced the prediction and prevention of pre-eclampsia, a leading cause of maternal morbidity.
The trends in his recent publications reflect a strong emphasis on clinical trials, epidemiological studies, and implementation science in maternal health. His work spans digital health systems, AI in reproductive genetics, fetal monitoring technologies, and public health interventions during pandemics. Many of his studies involve large-scale data analysis and multicentre collaborations across Europe and Australia.
His scientific awards include:
- 2023 Top Australian Researcher in O&G Award
- Best Oral Presentation (2023)
- Best Oral Presentation in Obstetrics (7 Mar 2023)
- Monash University School of Clinical Sciences Research Fellowship (2 Feb 2019)
- Outstanding (Top 10) Reviewer 2022 for Ultrasound in Obstetrics and Gynecology
- RANZCOG Wellbeing Award 2021
Daniel is actively involved in advising and leading major research grants. He is a Chief or Primary Chief Investigator on multiple active projects, including a learning health system for pregnancy care, a novel biosensor for fetal monitoring, and AI-driven preconception precision medicine. He supervises research students and collaborates with leading institutions globally. His work contributes to UN Sustainable Development Goals in health and wellbeing.
He is involved in key research teams and labs focused on maternal-fetal medicine, clinical epidemiology, and digital health innovation at Monash University and Monash Health. He regularly participates as an invited or keynote speaker in international conferences such as the World Congress in Fetal Medicine and the Australasian Society for Ultrasound in Medicine.
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