Simon’s main research interests are in the development and deployment of computational tools to translational tropical medicine. Initially this focused on snake venoms but now includes parasites, vectors, bacteria and viruses. His research is applied and translational – aimed at extracting meaning from biological datasets and solving complex real-world problems, improving predictive accuracy and efficiency, and uncovering hidden meaning and patterns in biological datasets. This involves bioinformatics, but also fundamentals of data transformations, coding, visualisation, specialist hardware and structured scientific logic and their application in biomedical research. Simon is engaged in a number of collaborative projects with other research groups in LSTM and works closely with research groups across the institution to ensure they have access to the best available computational tools and technologies to support their research.

Simon contributes to Applied Bioinformatics and other modules throughout the MSc portfolio. He is an experienced educator and trainer and champions technology for all - developing tools and infrastructure to remove barriers to technology uptake and empowering early career researchers to take on their own data challenges.