As in interdisciplinary scientist, I have experience of working in both experimental and theoretical fields of life sciences. I am able to interface between computational and experimental biology, using modelling and simulation to add value to data and assist projects with decision making and hypothesis generation. I have found this multi-disciplinary approach to have considerable value in understanding the complexity of biological systems and integrating the increasingly multi-variate data generated by life sciences research.

I am currently working in the field of quantitative systems pharmacology, applying systems modelling to drug discovery.

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