Experienced in R, Matlab & Python, as well as molecular and microbiology. I have experience in both experimental and computational fields, building complex molecular biology circuitry in microorganisms alongside mechanistic models of biological systems. I have applied my mathematical biology experience in quantitative systems pharmacology for the pharmaceutical industry as well as scientific programming to support life sciences researchers with data processing, analysis and high-performance computing pipelines.
I am looking for projects that can leverage my scientific problem solving experience with the application of modelling, simulation, and data analysis.
I provide scientific programming support to researchers building quantitative systems pharmacology models for the pharmaceutical industry.
I delivered consultancy projects in collaboration with IBM Research, promoting the application of machine learning and data science in UK industry.
I developed mathematical models of neutropenia to support immuno-oncology quantitative systems pharmacology projects.
Working in collaboration with IBM Research, I was responsible for identifying opportunities for applying high-performance computing to genomics projects in UK industry.
Working primarily in the oncology disease area, I 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.