I am a software engineer at Google Brain, where I am developing machine learning methods for gaining insights into biological and medical data.
I obtained my PhD degree in Bioinformatics from the University of Cambridge and the European Bioinformatics Institute (EBI/EMBL) on developing machine learning models for genomics. Specifically, I developed DeepCpG, a deep neural network for predicting DNA methylation in single cells, and analyzed the influence of DNA methylation on gene expression during cell differentiation (publications). My work was supervised by Oliver Stegle and co-supervised by Zoubin Ghahramani.
Before, I studied Bioinformatics at the Technical University Munich (TUM) and the Ludwig Maximilian University (LMU) Munich. My Master’s thesis was about machine learning models for predicting the risk of type 1 diabetes from high-throughput data and was supervised by Fabian Theis at the Helmholtz-Zentrum Munich. My Bachelor’s thesis was about conditional random fields for improving protein sequence searching and was supervised by Johannes Soeding at the Gene Center Munich.
During my undergraduate studies, I worked on protein sequence analysis in the Soeding lab. I maintained the Bioinformatics Toolkit, implemented HHfuncs for predicting functional sites in proteins, and extended CS-BLAST by a new model for predicting protein mutation probabilities.