Anders Sjögren

Postdoctoral Researcher, Mathematical Sciences

Modern big data analysis frequently involves billions of observations and models with millions of parameters. Powerful distributed computer hardware is available for the processing of the data on clusters and clouds. My research focuses on creating statistical methods that can handle data of these sizes and on their efficient software implementation for modern distributed hardware. Application areas of interest are high-dimensional regression analysis, metagenomics analysis in the area of antibiotics resistance, and online advertisement optimization (collaborating with Admeta AB).
​Computer Intensive Statistical Methods (MVE185/MSA100)
​Chalmers e-Science Centre
Admeta AB
Chalmers area of advance Life Science

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