Research interests

Chemometrics/Data Science

• Developing chemometric and data science tools to allow non data scientists to fully leverage their data.
• Develop techniques to combine information from multiple data streams to better understand a process, experiment, or system.

Materials Aging and Compatibility

• Using gas analysis techniques, such as Sector Mass Spectrometry, Gas Chromatography/Mass Spectrometry, and Selected Ion Flow tube mass spectrometry, to analyze headspace gas samples and understand material outgassing and potential material incompatibilities.

Spectroscopy

• Developing sensor platforms for ruggedized and/or embedded applications
• Spatial Heterodyne Raman Spectroscopy

Current position(s)

• Stockpile Surveillance Program Lead
• Aging and Lifetimes Program PI
• Gas and Data Science SME

Career path

2017 - 2019: Post Doc at LLNL doing Spatial Heterodyne Raman Spectroscopy (SHRS) for sensor development, Cyro GC/MS headspace gas analysis for materials compatibility, and various data science projects develop analysis tool or predictive models.

2019-2023: Subject Mater Expert in Data Science and Gas Analysis for Stockpile Surveillance, Aging and Lifetimes, the Life-Extension Program, and the Modernization Program

2023-Now: Stockpile Surveillance Program Lead and Subject Mater Expert in Data Science and Gas Analysis for Stockpile Surveillance, Aging and Lifetimes, the Life-Extension Program, and the Modernization Program

Subject Matter Expertise

Chemometrics, Data Science, Gas Analysis, Raman, IR Spectroscopy

Ph.D., Analytical Chemistry, University of Delaware, 2017

B.S., Chemistry, Idaho State University, 2011

Selected publications

“Standoff Detection of Oil and Powder Mixtures at 12 Meters Using a Tunable Quantum Cascade Laser-Based System with a Close Focus Telescope and Uncooled Infrared Detector” – J. Chance Carter, Phillip H. Paul. Joshua M. Ottaway, Peter Haugen, and Anastacia M. Manuel – Published Applied Spectroscopy (2022) https://doi.org/10.1177/00037028211060389

“Improving Prediction of Peroxide Value of Edible Oils Using Regularized Regression Models” – William E. Gilbraith, J. Chance Carter, Kristl L. Adams, Karl S. Booksh, Joshua M. Ottaway – Published Molecules (November 2021) https://doi.org/10.3390/molecules26237281

“Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Types of Naturally Aged, Plant-Based Edible Oils” – Joshua M Ottaway, J. Chance Carter, Kristl L. Adams, Joseph Camancho, Barry K. Lavine, and Karl S Booksh – Published Applied Spectroscopy (April 2021) https://doi.org/10.1177/0003702821994500

For a full list, see: ORCID