Huan Chen has been working in women’s and child health for 10 years. She joined The George Institute for Global Health in 2015 to focus on women with gestational diabetes and other non-communicable diseases during pregnancy.
Epidemiologist Sanne Peters first worked at The George Institute for Global Health in her final year as a PhD student in the Netherlands in 2012. She continued to collaborate and formally joined the Institute’s UK office in 2014.
Margie Peden has been an injury epidemiologist for 26 years – 17 of which were at the World Health Organization building a strong team of injury prevention diplomats. Specialising in injury prevention and trauma care, she joined The George Institute for Global Health in 2017 to lead the Global Injury program.
Trained as a medical doctor, with a diverse clinical background in paediatric surgery, primary care, medical education, and health services research, Shobhana Nagraj joined The George Institute for Global Health in 2017 to work on global maternal child health.
Nathalie Conrad’s research focuses on epidemiology and health services. She joined The George Institute for Global Health in 2014, where she specialises in analysing large-scale electronic health records data.
Robyn Norton began conducting research on how best to prevent and manage injuries 30 years ago. Her passion and dedication to improving the health of communities globally led her to establish The George Institute for Global Health 20 years ago.
"The unifying theme of my work has been supporting women's public health. I have done this in a wide variety of settings, ranging from government to hospitals to a small Bolivian non-governmental organisation."
Amritendu Bhattacharya is the Lead Biostatician at The George Institute for Global Health, India. He has done his Post Graduate Diploma in Bioinformatics from the Institute of Bioinformatics and Applied Biotechnology (IBAB) Bangalore and MSc in Medical Statistics from Brookes University.
"My research on chronic disease draws on the UK Biobank resource, such as in using genetic data and imaging-based phenotyping of body composition to improve causal inference about associations between exposure and disease outcomes."