Data Scientist
Data Scientist

Biography

Luke Durell is an interdisciplinary data scientist in the Math and Statistics of Data Science group within the Artificial Intelligence and Data Analytics Division and National Security Directorate at Pacific Northwest National Laboratory.

Durell supports a variety of projects involving nuclear radiation detection, environmental and biological science, and metabolomics. His work involves functional data analysis, design of experiments, complex data visualization, Shiny app development, machine learning, traditional statistical modeling, validation/verification of data and experiments, and data science education and mentoring. He works with complicated, rich datasets from radiation portal monitors, mass spectrometry instruments, resistance spot welding, and installation energy/water resilience measures.

Research Interests

  • Data Science
  • Data Visualization
  • Environmental Statistics, Data Analysis, and Modeling
  • Forecasting
  • Machine Learning
  • Interactive Applications
  • Design of Experiments

 

 

Education

PhD in statistical science, Baylor University

MS in statistical science, Baylor University

BA in mathematics and financial economics, Wittenberg University

Publications

  • Durell, L., Scott, J. T., and Hering, A. S. “Hybrid forecasting for functional time series of dissolved oxygen profiles,” Data Science in Science, 2(1), 2023. https://doi.org/10.1080/26941899.2022.2152401
  • Durell, L., Scott, J. T., Nychka, D., and Hering, A. S. “Functional forecasting of dissolved oxygen in high-frequency vertical lake profiles,” Now Online in Environmetrics, 2022. https://doi.org/10.1002/env.2765
  • Hering, A. S., Durell, L., and Morgan, G. “Illustrating randomness in statistics courses with spatial experiments,” The American Statistician, 75(3):342-353, 2021. https://doi.org/10.1080/00031305.2020.1871070