Supporting R&D initiatives and translating quantitative models into production. My background combines expertise in theoretical modeling, data analysis, and software engineering.I transitioned into engineering following my PhD in physics, where I developed computational methods to understand the statistical properties of the early universe. Seeking a more applied role, I moved into cancer research, supporting a centralised scientific computing team by developing pipelines, deploying applications, and providing HPC support across the organisation.Currently, I contribute to the regenerative agriculture movement with Agreena. Working closely with scientists, modellers, and engineers in cross-functional teams, I leverage my skills to help drive innovation and quantify the carbon impact of sustainable agricultural practices.