He is heading the Algorithms for Computational Genomics group, focusing on algorithms and statistical methods to analyze high-throughput data to study (population) genetics of humans, bacteria, and cancer. This involves developing the theoretical foundations in algorithmic statistics, combinatorial optimization, and sequence algorithms, and applying the resulting methods in collaboration with biomedical researchers to gain biological insights. Topics addressed range from algorithms for low-level data processing to questions of population genetics. Read more