Andrew Nobel

Andrew Nobel is a statistician whose research spans applications, methodology, and theory. His methodological work is focused on the statistical analysis of data arising from high-throughput measurement technologies that are common in genomics and connectomics. Of particular interest is the problem of data integration, where the key issue is to combine multiple types of information extracted from a common set of samples, prime examples being eQTL analysis and spatial transcriptomics. Other problems of interest include exploratory analysis (clustering, biclustering, correlation mining) and network comparison and alignment. Nobel’s applied research is driven in large part by biomedical problems arising in the study of cancer, with the broad goal of developing analytic statistical methods that can help provide insight into disease etiology and treatment.