Marlon is a lead senior researcher on novel technologies for assessment of food attributes. He has background in chemistry and 22 years of research experience in chemometrics, digital technologies and advanced analytics. His research in natural language processing, data mining and deep learning is exploring how intrinsic and extrinsic food attributes can be brought together digitally to support the development of sustainable food products that are appealing to consumers. His research in spectral imaging is introducing non-invasive methods to reveal the interaction of food with biological systems during dynamic processes. For example, assessing digestion of food in real time to provide new data on the impact of food matrices in digestive processes. These two areas of research are complementary and provide a holistic assessment of the impact of food on human wellbeing.