Our Vision
Our Vision
Our vision is to reduce the devastating impact of stillbirth for women, families and the wider community through improving care to reduce the number of stillborn babies and to reduce the impact of this loss.
People + Partners
People + Partners
Meet the network of people, organisations, and professional institutions driving research and program implementation across the Stillbirth CRE.
Our work
Our Work
Explore some of the latest Stillbirth CRE research projects, scientific studies, and educational campaigns on stillbirth prevention and care after stillbirth.
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News + events
View the latest news and events from the Stillbirth CRE and our collaborating partners.
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jui.das@uq.net.au

Ms Jui Das

Mater Research Institute-University of Queensland

Jui Das is a full-time international PhD student. Jui’s PhD project is focusing on the association between asthma during pregnancy and adverse outcomes. In 2020, she received the Frank Clair award from the Mater Research Institute-University of Queensland. Before joining the Stillbirth CRE, Jui completed MS in 2013 from Dhaka University, Dhaka, Bangladesh and joined as Research Assistant (full time) in 2013 in the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) with a primary interest in maternal and child health. Hereafter, she developed and strengthened her skill in Epidemiology and Biostatistics by active learning, completing several intensive course works, workshops and training. She has seven years of research experience involving eight quantitative and qualitative research projects following different research methodologies. Her primary responsibilities were project management, quality assurances, data analyses, scientific writing and assisting research concept generation and participation in several research grant opportunities. She has a track record of 21 peer-reviewed publications and attended several international scientific conferences and workshops. She is keen to handle large databases, especially longitudinal data and perform data analysis by using appropriate statistical models in STATA and SPSS. She is also very familiar with literature search; systematic review, and meta-analysis and handy to use EndNote and Covidence software. She is hard-working, has the patience to learn, and can solve day-to-day research-oriented problems independently. Her goal is to formulate innovative preventive approaches to improve maternal and child health which has immediate and long-term impacts for the wider communities of the developed and developing countries.


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