果冻传媒

Shauna O鈥橠onovan is an assistant professor in the Department of Biomedical Engineering (research group Computational Biology), working on systems biology for the immune-gut axis. She uses computational approaches to investigate how factors such as the gut microbiome and chronic inflammation contribute to the development of Type 2  Diabetes and cardiovascular disease. She is particularly interested in developing and deploying hybrid-approaches, combining the favorable features of machine learning techniques and mechanistic mathematical models to generate models that can not only integrate different data types but can also be trained with less data. In this way, she aims to construct a holistic in silico model of metabolic health, shedding light on how differences in gut health and chronic low-grade inflammation influence the development of cardiometabolic diseases and aiding in the design of personalised treatment programs for cardiometabolic diseases.