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B.A., MPH, PhD

As a data scientist and bioinformatician, Dr Sebastian Rauschert is highly skilled in working with high dimensional biological data. Dr Rauschert's main interest is in machine learning applied to genetic, epigenetic and metabolomic data, to understand disease aetiology and association networks within the field of non-communicable diseases and personalised medicine.

He completed his PhD in metabolomics and the developmental origins of health and disease at the Luwig-Maximilians-Univeristaet Munich, Germany in 2017. During that time, he worked on biomarker research for obesity and insulin resistance and had a focus on sex differences in the metabolome.

In 2018, Dr Rauschert relocated to Perth, Australia, to work in the diabetes and obesity group at the Telethon Kids Institute. 
Here, Dr Rauschert works with data from the Raine Study and is involved in the European Union HORIZON 2020 Project LifeCycle, that aims to "establish the EU Child Cohort Network, a Europe-wide network of cohort studies that started in early-life, and translate findings into policy recommendations for stratified and personalized prevention strategies." This network includes the Raine Study as a non-EU partner. 

In his current role, Dr Rauschert applies his skills in bioinformatics and data science to epigenetic and genetic data and aims to explore the association between adverse environments in utero and early life and epigenetic changes associated with obesity and diabetes. He uses machine learning to develop tools with the aim to apply them in personalised medicine.