Ibukun Adesoji Adejumobi

Clinically trained cancer biologist with over 14 years of medical and research experience, specializing in immuno-oncology, epigenetics, and translational research. As a PhD candidate at Peter MacCallum Cancer Centre, I provide medical and technical expertise in disease modeling (3D organoids, scRNA-seq) and biomarker discovery for oncology. Skilled in medical regulation and reimbursement strategies, with awareness of the Medicines Australia Code, gained through active engagement in Melbourne’s biotech ecosystem (e.g., Jumar Masterclass). Currently upskilling in AI and data analytics (University of Melbourne, Google) to enhance disease awareness initiatives, with a long-term vision to found a precision oncology startup.

Innovative technology professional with several years of diverse experience. Skilled in enhancing systems and aligning technical solutions with business objectives. Proven success in leading projects from start to finish and contributing to organizational growth and success.

• Good Clinical Practice (GCP)
• International Presentations (e.g., Lorne Cancer Conference 2025)

• Jumar Masterclass
• Regulatory/reimbursement focus in BioMeD
• Unlocking User Needs
• Nucleate Australia Launch
• Victorian Medtech Hub Road Trip to Planet Innovation

• Practical Use of AI in Healthcare, University of Melbourne, Online, 06/02/25, 07/13/25
• Foundations: Data, Data, Everywhere, Google Data Analytics Certificate, Coursera, 03/07/25, Present

In 2024, my poster on identifying cell of origin of Barrettes metaplasia and progression to oesophageal adenocarcinoma using 3D organoids was Highly Commended at the Peter Mac Research Symposium, reflecting my ability to distill complex science into impactful insights—much like the literature appraisals and non-promotional guidance this role requires. Additionally, I earned a Travel Award at the Oz Single Cell Hackathon Showcase for my work in single-cell transcriptomics, which honed my skills in cutting-edge data analysis and collaboration.