• 64
    Citations - based on content available in repository [source: Scopus]
20172024

Content available in repository

Personal profile

Research profile

Shauna O’Donovan 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.

Academic background

Shauna O’Donovan received a B.SC in Mathematical Science (2013) and a M.Sc in Bioinformatics and Computational Biology (2015) from University College Cork, Ireland. She then went on to pursue a PhD in systems biology at Maastricht University under the supervision of Prof. Theo de Kok developing computational approaches to understand dynamic behaviors of biological systems from time series of omics measurements. She obtained her PhD in 2020. She then joined the Division of Human Nutrition and Health at Wageningen University as a postdoc. In 2022 she was appointed assistant professor at the Computational Biology group at the Department of Biomedical Engineering (TU/e, the Netherlands) working on systems biology for the immune-gut axis.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Bioinformatics/biostatistics, biomathematics, biomechanics, Doctor, Modelling the dynamics in time series of metabolic and transcriptomic data; Insulin resistance and liver toxicity. , Maastricht University

Award Date: 28 Sept 2020

Bioinformatics/biostatistics, biomathematics, biomechanics, Master, Bioinformatics and Computational Biology, University College Cork

Award Date: 26 Feb 2015

Mathematics, Bachelor, Mathematical Sciences, University College Cork

Award Date: 31 Oct 2013

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