Brian Clarke | Group Leader
My research centers on combining machine learning and mathematical modeling with rigorous statistical principles to understand core questions in genomics. One focus area is predicting effects of rare genetic variants for disease risk stratification and discovering gene-phenotype associations. I also develop causal inference methods to analyze the dynamics of gene regulatory networks in developmental systems, with the goal of understanding cell fate decisions and disease-relevant pathways.
Prior to working at DKFZ, I did my PhD (Max Planck Institute) and postdoctoral work (Stanford, University of Münster) in mathematics. Following that, I worked in data science and machine learning in industry. In my spare time, I enjoy spending time with my family, bouldering/rock climbing, cycling, and hiking.
Notable awards:
– Otto Hahn Medal, Max Planck Society
– Postdoctoral Fellowship, US National Science Foundation
– Outstanding Achievement in Mathematics Award, University of Michigan