PHI has work that spans the worlds of climate change and health equity. Explore some of the themes of our work below, and find project pages, links and publications within them.
\n \n\n \n \nAmelia is a Science Communicator, and joined the PHI Lab in September 2023. She has a background in Biochemistry and research experience in science communication, and now leads on the various parts of PHI\u2019s outputs.
\n \n\n \n \nOne key feature of our research is using data collected from the world around us. This could be de-identified patient records, weather station measurements or satellite imagery. This real-world international evidence uses federated analytics to safely and securely combine individual person-level data into valuable learning.
\n \n\n \n \nArtificial Intelligence is one of the biggest areas of development and innovation today. In our research, we are applying AI technology to tackle one of the greatest challenges facing healthcare systems across the globe: the impact of the environment and climate change.
\n \n\n \n \nMedical statistics was a key part of the response to the COVID-19 pandemic. Like many teams, we applied our experience with data analysis, real-world evidence and international collaboration to help healthcare systems around the world respond to the health crisis, and learn from it.
\n \n\n \n \nOur lab applies machine learning in medical statistics, allowing us to identify patterns and insights in large amounts of health data. This can lead to improved diagnoses, treatments, and overall healthcare outcomes.
\n \n\n \n \nAs artificial intelligence continues to grow in its power and applications, we are harnessing its power to improve healthcare, making it fair and safe for all.
\n \n\n \n \nSara is an Associate Professor of Health Informatics and Biomedical Data Science within the Centre for Statistics in Medicine. She trained in electrical and biomedical engineering prior to founding the PHI Lab, which studies data science and artificial intelligence for planetary health.
\n \n\n \n \nUsing satellite data, including vegetation levels, nighttime lights, rainfall and temperature, connected to malaria levels in South Asia to improve malaria prediction models.
\n \n\n \n \nUsing de-identified data from fitness trackers connected with localised weather data to study the impact of extreme temperatures on sleep and activity.
\n \n\n \n \nUsing satellite data to track the humanitarian impacts of flooding, particularly on schools, hospitals and roads.
\n \n\n \n \nMeet the faces behind the PHI Team! We'll be adding interviews as we go, so check back to hear more about other team members!
\n \n\n \n \nHear about our research from other outlets, like the Central University's news and our collaborators.
\n \n\n \n \nHear our researchers talk about the research we do and why it matters.
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