Research

Conference Presentations

• osQF 2025: Tidyagronomy - An R package to Quantify Growing Degree Units (and Impacts on Agricultural Commodity Markets)

Research Projects and Collaborations

• Python implementation of bolasso: (in progress, 12/2024) Combining aspects of fastFeatures, bolasso, and research from several authors to build a robust bootstrap lasso package for the modern data science and statistical environment.
  • Collaborators:
    • Daniel Molitor
    • Daniel Eubanks
• fastFeatures is an R package built from the ground up with one goal in mind: High-speed variable selection in typical statistical/data science settings so that you may (and shall) build a predictive model that is easy to explain and share.
  • Collaborators:
    • Carson Sprock
• TidyAgronomy is the first “tidyverse” R Package to unify the data and model framework of commonly used features for agronomic data science at scale.
  • Collaborators:
    • Lucky Mehra
    • Paul Tanger
    • Mohammad Bannayan

Patents

• US020240119542A120240411: Systems and Methods for Assessing Crop-Damaging Factors Associated with Agronomic Fields.

Research Interests

• Time Series, Frequency and Spectral Estimation

• Machine Learning Approximations to Auto-Regressive Time Series Model Problems. Quantile Auto-Regression and QAR-Forests.

• Dimensionality Reduction

• High-Speed & Approx. Correct Model Solutions, Capabilities, and Pipelines.

• Engineered Systems and Machine Learning System Architecture

• Crop, Pest, and Disease Modeling for Commercial Agricultural Applications.