Monday, Aug 7: 3:20 PM - 3:45 PM
Invited Paper Session
Metro Toronto Convention Centre
The Pacific Northwest National Laboratory (PNNL) is a U.S. Department of Energy Office of Science National Laboratory with core capabilities that span several scientific domains, including chemical and material science, engineering, biological and earth sciences, and computational and mathematical sciences. As such, PNNL data scientists enjoy a rich variety of interesting and challenging problems to choose from in providing their expertise. This presentation showcases this diversity by discussing two examples of PNNL project work: an application of Generalized Additive Models for Location Scale and Shape (GAMLSS) models towards estimating false discovery rates in gas-chromatography mass-spectrometry (GC-MS) metabolomics; and the development of a new, model-agnostic inferential test for detecting interaction effects.