NEXT GENERATION CONDOM CONTRACEPTION TO TACKLE SEXUALLY TRANSMITTED DISEASES & UNINTENDED PREGNANCIES
RESEARCHER PROFILE (Filmed October 2023)
Dr David J. Shepherd,
Lead Production Engineer and Materials Specialist
Eudaemon Technologies
Sydney, Australia
Dr David Shepherd is a Lead Production Engineer and Materials Specialist at Eudaemon Technologies. His journey began at the University of Wollongong, where he pursued advanced studies and eventually obtained a PhD under the guidance of a distinguished professor. His research initially focused on actuating materials and artificial muscles, particularly centred around hydrogel materials. These early explorations have seamlessly evolved into his current focus on utilising hydrogels in the realm of sexual reproductive health, with a specific emphasis on developing innovative hydrogel condoms.
Dr Shepherd’s work revolves around the development of devices and materials for sexual and reproductive health, with a particular focus on next-generation condom technology. He specialises in material fabrication and is dedicated to exploring the integration of ideas from various scientific and engineering disciplines to advance the field.
Beyond his professional pursuits, David finds joy in playing rugby union and delving into historical studies, alongside indulging in a passion for reading and travel.
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Pathogenicity, modelling & treatment of inherited retinal Stargardt disease
Dr Di Huang is a Research Associate at the Lions Eye Institute (LEI), working with A/Professor Fred Chen and Dr Sam McLenachan. Her research focuses on developing a robust platform of retinal pigment epithelium cells and retinal organoids derived from patient-specific induced pluripotent stem cells to model inherited retinal diseases, particularly Stargardt disease (STGD1).
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Respiratory health and the microbiome in the lung environment
Dr Taylor leads the Respiratory Health Group within the Microbiome and Host Health Program. His research employs tailored techniques that allow the lung environment to be characterised to a high level of accuracy, including detailed measurements of airway microbiology (microbiome), mucus composition, and inflammation. This information is used to identify predictive markers of chronic lung disease severity as well as determine effective forms of therapy.
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Professor Alex Fornito
PROFESSOR ALEX FORNITO
HEAD OF THE BRAIN MAPPING AND MODELLING RESEARCH PROGRAM
TURNER INSTITUTE FOR BRAIN AND MENTAL HEALTH, MONASH UNIVERSITY
VICTORIA, AUSTRALIA
