Dr Jonathan Göke
Genome Institute of Singapore & the National University of Singapore
Bio:
Dr Jonathan Göke is a group leader at the Genome Institute of Singapore and Adjunct Associate Professor at the Department of Statistics and Data Science at the National University of Singapore.
At GIS he leads the laboratory of Computational Transcriptomics, which develops algorithms and machine learning methods to analyse high throughput, long read RNA sequencing data. Among others, he has developed some of the earliest methods to detect RNA modifications from direct RNA-Seq data, contributed to international consortia such as the Pan-Cancer-Analysis-of-Whole-Genomes consortium, and his team won the DREAM machine learning challenge to predict high-risk Multiple Myeloma patients. Dr Göke was a recipient of scholarships from the Max Planck Society, the German Academic Exchange Service, and he was selected for the GIS Fellows program. His work was published in top interdisciplinary journals, among others in Cell, Nature, Nature Biotechnology and Nature Methods.
Dr Göke received his PhD in Bioinformatics from the Max Planck Institute for Molecular Genetics in Berlin and a B.Sc from Freie Universität Berlin (Germany). You can find out more about his research, team, and methods under