We are interested in understanding the connections between genotypes and phenotypes. Our approach is to use interpretable machine learning methods to extract meaningful information from big data and to make actionable predictions.
Machine learning
We utilize advanced statistical and machine learning methods in genomics and phenomics research
Plant and microbial genomes
We apply computational tools to study genomes of plant and microbial species