↳Bringing strong expertise in mathematical modelling, statistical learning, machine learning, causal inference, optimisation, predictive modelling and mechanistic modelling.
↳Applying quantitative methods to complex health, nutrition, biological, clinical, microbiome, omics or experimental datasets.
↳Leveraging digital biology approaches (including digital twins, virtual cells scientific, agentic AI and foundation models) to accelerate discovery and innovation.
↳Collaborating across research, data science, clinical, nutrition, digital and experimental teams while communicating complex models in a clear and engaging way.
↳Communicating fluently in English.
↳Bringing collaboration, fresh thinking, bold questions, respect, and a positive, wellbeing-oriented mindset.
