Brian Yandell

I study systems genetics to unravel the complex relationships between observable traits (such as flowering time or clinical signs of diabetes) and molecular signals (mRNA expression, protein and metabolite levels, etc.). This work includes model selection for gene mapping (QTL), expression hotspot analysis and causal phenotype models. My research interests have evolved into a broader perspective on data science. I now direct the campus-wide American Family Insurance Data Science Institute, with mission to perform cutting-edge research in the fundamentals of data science, translate innovative data science methodologies into practice, and engage broadly by collaborating on activities with the Data Science Hub and launching breakthroughs in all disciplines.

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