I have experience working on a range of quantitative systems pharmacology projects in early drug discovery and pre-clinical development. I also have experience in designing and delivering data science consultancy projects across a variety of industries.
I am looking for projects that can leverage my scientific problem-solving experience with the application of emerging technologies in data science, particularly modelling, simulation, machine learning and data visualisation.
I provide scientific programming, data analysis, and literature review services supporting researchers developing quantitative systems pharmacology models for various consultancy projects in the pharmaceutical industry.
I delivered data science consultancy projects working collaboratively with IBM Research and local small/medium-sized businesses in the north-west region.
I was responsible for providing mathematical modelling and data analysis support to quantitative systems pharmacology consultancy projects, specifically in the field of immuno-oncology.
Working as part of a small interdisciplinary life sciences team in the Hartree centre, and in collaboration with IBM Research, I was responsible for identifying opportunities in genomics and systems biology where high-performance computing could provide a competitive advantage to UK academic and industry partners.
As a computational biologist at AstraZeneca I worked primarily in the oncology disease area and developed quantitative systems pharmacology models in collaboration with high throughput experimental scientists, DMPK modellers, and clinical teams. My work was applied to phase 1 clinical trials to enable dose scheduling and drug efficacy prediction.