Alexander Franks

I am currently a Moore/Sloan Data Science and WRF Innovation in Data Science Postdoctoral Fellow at the eScience Institute at the University of Washington. Most recently, I have been working with Peter Hoff on methods for high-dimensional covariance estimation. I am collaborating with Daniel Promislow to apply this methodology for the analysis of metabolomic data from patients with Alzheimer's and Parkinson's disease. I received my PhD in the Department of Statistics at Harvard University. There I was a member of Edoardo Airoldi's lab, where I worked on models for high-throughput 'omics data, missing data methodology, and statistics in networks.

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