​Dr Nurudeen Adegoke is a Senior Data Scientist and Biostatistician at the Melanoma Institute Australia (MIA) and an Honorary Senior Lecturer at the University of Sydney. With a foundation in Mathematical Sciences, he holds a PhD in Statistics and is an Accredited Statistician (AStat) with the Statistical Society of Australia.

​​Dr Adegoke’s research integrates quantitative modelling, biostatistics, and deep learning, applying rigorous statistical frameworks to uncover actionable insights from complex biomedical data. Within MIA’s Biostatistics Team, he develops computational pipelines that harmonise clinical, spatial, and molecular data to generate multi-omics predictions of immunotherapy response.

​As part of the Neoadjuvant Immunotherapy Translational Research Platform (NeoPlatform), he conducts statistical analyses and modelling to support ongoing projects​. His expertise spans deep learning for spatial omics and imaging data, including spatial transcriptomics, CyTOF, and other multimodal integration frameworks.

Dr Adegoke’s current work focuses on modelling disease evolution using multi-state frameworks, predicting immunotherapy outcomes through integrative analysis of transcriptomic, genomic, and spatial datasets, and characterising resistance mechanisms at the cellular and molecular levels.

Through his cross-disciplinary leadership, Dr Adegoke enables precision analytics across MIA, connecting clinical phenotypes with underlying biology. His research has been presented at major international meetings, including ASCO and SMR, and published in leading peer-reviewed journals.

​Motivated by a vision to bridge data science and translational medicine, Dr Adegoke aims to transform complex, multi-modal datasets into clinically meaningful insights that accelerate biomarker discovery, guide personalised immunotherapy, and advance MIA’s mission of achieving zero deaths from melanoma.​