Simon de Graaf

Nationality
Australia
Programme
SMART LOIRE VALLEY PROGRAMME
Scientific Field
Period
June, 2025 - January, 2026
Award
LE STUDIUM Visiting Researcher

From

University of Sydney - AU

In residence at

Physiology of Reproduction and Behaviour (PRC) / Centre INRAE Val de Loire, CNRS, University of Tours, IFCE - FR

Host scientist

Xavier Druart

BIOGRAPHY

Professor Simon de Graaf FRSN FSRB is recognised globally as an expert in sheep reproduction, artificial breeding of livestock and semen assessment. He has published over 90 journal articles and 5 book chapters on animal reproduction and trained over 3000 veterinary medicine, animal science and agriculture students in animal reproduction and surgical theriogenology. His work has featured internationally in television, radio and print media and he regular speaks at conferences, industry events, schools and universities around the world.  He is currently Professor of Animal Reproduction at The University of Sydney and Secretary General of the International Congress on Animal Reproduction. He has been elected Fellow of the Royal Society of New South Wales and Fellow of the Society of Reproductive Biology for his career achievements in animal reproductive science.

PROJECT

Visualizing Fertility: Imaging Reproductive Function to Improve Animal Breeding and deliver Immersive Education

This project explores the intersection of imaging technologies, molecular biology, and reproductive education to address critical challenges in livestock fertility and pregnancy management. Employing state-of-the-art techniques, it investigates species-specific adaptations in sperm metabolism and proteomic changes during ejaculation and deposition in the female tract of sheep and horses. Advanced imaging modalities, including confocal laser endomicroscopy and multimodal approaches, will elucidate sperm transport mechanisms, emphasizing seminal plasma exposure, uterine contractility, and the oestrous cycle's impact on sperm success.
The project extends to multimodal imaging of pregnancy in sheep, combining MRI and ultrasound to develop machine learning algorithms for precise fetal diagnostics, including number and age determination. The data will support the creation of immersive AR/VR teaching tools, revolutionizing the training of students and professionals in sperm transport, fertilization, pregnancy development, and clinical diagnostics.
By testing hypotheses related to seminal plasma's role, uterine conditions, and imaging-enhanced diagnostics, this project aims to uncover mechanisms underlying fertility and pregnancy success. The research outcomes will enhance artificial insemination success rates, improve breeding program efficiency, and provide actionable insights into species-specific reproductive challenges.
The project leverages INRAE's expertise in reproductive imaging and multi-species research to ensure cutting-edge methodologies. Outcomes will include peer-reviewed publications, new diagnostic tools, and innovative educational resources. This work not only advances fundamental knowledge but also delivers practical solutions for the livestock industry and impactful resources for the education sector.