Tsegay Gebrehiwot Gebru
Postdoctoral Research Associate
Dr. Tsegay Gebrehiwot Gebru is a Postdoctoral Research Associate in Bioinformatics (Statistics) at the University of Exeter Medical college. Tsegay received his BSc in 2005 and his MSc in 2009 both in Statistics from Addis Ababa University in Ethiopia. During his master’s study, Tsegay used discriminant analysis to analyze multivariate data to identify group membership of observations. It was during this master’s degree, Tsegay realized that the classical discriminant analysis method cannot handle high-dimensional multivariate data. This motivated Tsegay to study his PhD in high-dimensional discriminant analysis and its application on health and biological data. As a result, he graduated his PhD in Biostatistics from the Open University School of Science, Technology, Engineering, and Mathematics (STEM), Milton Keynes, in 2018.
Tsegay started a Postdoctoral Research Associate position in Medical Statistics at the School of Life, Health and Chemical Sciences (LHCS), Open University, UK for 1 year (2018-2019). Then he worked as Research Associate in Statistical Genetics and Data Science for Healthcare using large data from UK Biobank for 2 years (2019-2021) at the Institute of Genetic Medicine and School of Computing in Newcastle University. His role was mainly on identifying environmental and genetic factors associated with common diseases such as coronary heart disease.
Starting 2021, Tsegay is currently working as a postdoctoral research associate in the Complex Disease Epigenetics Group at the University of Exeter medical college. His research role is mainly on analysing DNA methylation quantitative trait loci to identify pathways involved in Alzheimer’s disease (AD) and other related diseases such as lewy body dementia.
- BSc in Statistics (2005, Addis Ababa University)
- MSc in Statistics (2009, Addis Ababa University)
- PhD in Biostatistics (2018, The Open University)
- DNA methylation quantitative trait loci (mQTL)
- Analysing genetic and epigenetic datasets related with AD and dementia
- Genome-wide Association Studies (GWAS)
- Mendelian Randomization and Bayesian Networks
- High-dimensional multivariate analysis
- Longitudinal data analysis