Craig’s research seeks to design rational bioprocess optimization strategies using computational models and ‘omics data.
Bioprocess optimization strategies have gone beyond the tweaking of bioreactor operating parameters and now resides at the level of cell line engineering. Understanding the decision processes of programmed cell death (via apoptosis) from a state of cellular proliferation represents an important step for engineering robust industrial cell lines. Computational modelling allows for the elucidation of complex non-intuitive behaviours of biological circuits such as apoptosis in CHO cell expression platforms. Craig uses ‘omics data, specifically proteomic data, to validate and train biological models for their utility in cell line engineering.
Craig attained bachelor’s degrees in Chemical Engineering (Hons) and Bioprocess technology (Hons, Class I) from the University of Queensland. Craig worked as an undergraduate engineer at Synergen Met’s modular cyanide plant, where he gained experience in dynamic modelling, design, and operation of process equipment. With a keen interest for systems modelling, he undertook an honours thesis in modelling complex biological systems within the context of bioprocess optimization. In collaboration with Zoetis, a global leader in veterinary medicines, and under the supervision of Dr Esteban Marcellin, Craig used high resolution ‘omics data in conjunction with a metabolic model to compute new hypotheses for cell line optimization.