Bio
Nicholas is a PhD student at the University of Nottingham, based in the Centre for Mathematical Medicine and Biology (CMMB). His research focuses on using mathematical modelling, bioinformatics, data science and machine learning to better understand cancer and improve treatment outcomes. Nicholas is also a research intern at the Mayo Clinic Arizona Mathematical Neuro-Oncology lab, where he works alongside clinicians to develop and deploy these models on clinical datasets.
Research interests
Nicholas' research focuses on developing mechanistic and data driven mathematical models for glioblastoma, the most common form of brain cancer. Glioblastoma, along with most cancers, is a complex and heterogenous disease. Despite this variability, current standard of care treatment is based on what is best for the ‘average’ patient and is rarely personalised to the individual’s needs. Mathematical and computational models can be used to design a digital twin of the brain tumour that virtually simulate the evolution of the tumour. Ultimately the goal is to use these models/twins to predict tumour progression, response to treatment, to optimise treatment delivery and scheduling on an individual level, as well as design new clinical trials. Beyond this specific project Nicholas is also interested in integrating data from wearable technology devices to further personalise treatment in various diseases.