Tim Osburg
Research Fellow
(Medical Biometry)
Focus
Comparison of standard and robust regularized regression methods for prediction of molecular phenotypes, in particular circulating proteins and noncoding RNAs
Medical/Professional background
- since 2022
PhD Student
Institute of Medical Biometry
Heidelberg University- 2018 – 2021
M.Sc. Computional Life Science – Genetic Statistics
Master thesis: Genome-wide association study of Alzheimer’s brain imaging biomarker in EMIF-AD MBD Study
University of Lübeck, Germany- 2015 – 2018
B.Sc. Computional Life Science
University of Lübeck, Germany