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Through these experiences, her research interests in intersectional inequalities, community engagement and women’s health have grown enormously. She is enthusiastic to continue contributing towards improving the health and wellbeing of underrepresented women.

She volunteers at the UN Women UK where she collaborates with a multidisciplinary team to synthesise the evidence base and design research tools which explore the barriers and facilitators to digital access facing marginalised women and girls in the UK.

The findings and recommendations from this project are published in peer-reviewed journals, help local authorities promote positive health behaviours and improve public health outcomes.

Here, she worked on collaborative research and evaluation studies for the Talk, Listen, Change, health inequalities research programme which addressed the disproportionate impact of COVID-19 on ethnic minorities.

After obtaining her MPH with Distinction, she worked as a public health research practitioner funded by the National Institute of Health and Care Research. @nihrarcs.bsky.social

Marginalised women experience inequalities in their access to and overall experience of healthcare services. This is largely due to their needs not fully recognised or addressed by healthcare providers.

Ifunanya aims to explore the lived experiences of marginalised women who access or are trying to access healthcare services in Scotland and recommend practical and sustainable interventions to improve their health outcomes and reduce inequalities.

Her contributions have been recognised with awards including UofG Future World Changer (2018) and Top 50 Women in Engineering finalist (2022).

Sofiat is also the founder of Computer Science Academy Africa (CSA Africa), which has trained 700+ young Africans in Python programming across Nigeria, Rwanda, Kenya, and online.

In 2023, she was endorsed as an Exceptional Promise under the UK Global Talent scheme by the Royal Academy of Engineering.

Her current research focuses on efficient algorithms for matching theory and engineering applications. She has published in peer-reviewed journals, presented at international conferences, and contributes to open-source software, including two Python libraries on graph and stable matching algorithms.

Dr. Sofiat Olaosebikan is a Lecturer in the School of Computing Science at the University of Glasgow. She earned her PhD in 2020, following an MSc from the African Institute for Mathematical Sciences, Ghana, and a BSc in Mathematics from the University of Ibadan, Nigeria.

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The project aims to explore how manipulating p53 degradation pathways could open new avenues for targeted and effective cancer treatments. Marwa is particularly interested in translational research that bridges molecular biology and therapeutic development.

For her PhD Marwa Osman has joined the School of Chemistry in the College of Science and Engineering. She holds a Bachelor's degree in Biomedical Science from the University of Sudan and a Master’s degree in Biomedical Science.