My research addresses central questions in reproductive medicine, developed in close collaboration with international and Australian groups. I led an analysis on diminished ovarian reserve showing that reduced AMH does not increase embryo aneuploidy or compromise live birth rates, findings that have helped refine counselling for patients with reduced ovarian reserve (Fertility and Sterility, 2022)ASRM Investigator Achievement Award 2023

Working at the intersection of environmental health and reproductive medicine, I led the development of the first high-resolution, AI-enabled exposure model linking satellite-derived PM2.5 and census geospatial data to sperm DNA fragmentation, contributing to precision environmental risk assessment in andrology (Human Reproduction, 2025). The work offers a new lens on how environmental factors may influence male fertility at a population scale.

The Fouks Score, an externally validated clinical risk score I developed, supports surgical decision-making in tubo-ovarian abscess and complicated pelvic inflammatory disease (Journal of Minimally Invasive Gynecology, 2019). Originally designed for acute gynaecology, it has been adopted as a practical decision-support tool in a number of institutions internationally.

Machine learning runs as a thread across my research. Together with colleagues across reproductive medicine and obstetrics, I've developed US-validated predictive models for the utilisation of cryopreserved oocytes and return-to-care algorithms that inform prognostication and cryostorage policy (Reproductive BioMedicine Online, 2024). My ongoing work in real-time AI for fetal monitoring focuses on cardiotocography analysis during labour, with prospective validation in Australian and international delivery rooms, predicting fetal decelerations 2 to 3 minutes in advance using hybrid global-local models (ongoing prospective clinical trials).

Beyond clinical research, I'm committed to health systems innovation, developing remote-cycle management frameworks and resource allocation models to address accessibility challenges in publicly funded fertility services. This work, presented at FSANZ 2025, focuses on equity and access in reproductive care (health systems research and policy translation).