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About Me

I am currently an ORISE Postdoctoral Fellow working with the US EPA, Office of Research and Development. My research interests include biogeochemistry, plant ecophysiology and the impacts of pesticides on honeybees. My PhD dissertation work  focused on the ecology of nitrogen-fixing plants and their role in driving forest nitrogen cycling and productivity. 

I am also interested in using geospatial analysis and machine learning techniques to answer broad-scale ecological questions. Ecology is an ideal field for machine learning because ecological processes vary over time and space (often non-linearly), are scale-dependent and are usually determined by interactions between many correlated variables. Machine learning algorithms give us the flexibility to learn these complex model structures from our data while making relatively few assumptions. 

My hobbies include hiking, running, cycling, gardening, disc golf and adventures with my awesome dog Mumpo and my wife Erin. 

 

Areas of expertise

  • Forest nitrogen cycling and the ecology of N-fixing plants

  • Plant ecophysiology and drought response strategies

  • Nitrogen and carbon stable isotope analysis

  • Pesticide fate and transport models

  • Impacts of neonicotinoid pesticides on honeybees

  • Statistical modeling and machine learning:

    • Mixed-effects models, logistic regression

    • Bayesian statistics

    • Geospatial models and GIS

    • Ensemble models (random forest, gradient boosted CART and GAMs)

    • Rare event modeling

  • Programming in R, Python, SQL, Javascript, C++ and Java

 

Publications

Sandy Raimondo, Leah Sharpe, Leah Oliver, Kelly R. McCaffrey, S. Thomas Purucker, Sumathy Sinnathamby, and Jeffrey M. Minucci. 2019. A unified approach for protecting listed species and ecosystem services in isolated wetlands using community-level protection goals. Science of The Total Environment. doi: 10.1016/j.scitotenv.2019.01.153.

Jeffrey M. Minucci, Chelcy Ford Miniat, R.O. Teskey, and Nina Wurzburger. Tolerance or avoidance: drought frequency determines the response of an N2-fixing tree. New Phytologist 215:434–442. doi:10.1111/nph.14558.

Megan B. Machmuller, Jacqueline E. Mohan, Jeffrey M. Minucci, Carly A. Phillips and Nina Wurzburger. 2016. Season, but not experimental warming, affects the activity and temperature sensitivity of extracellular enzymes. Biogeochemistry 131:255-265.

Jeffrey M. Minucci, Chelcy Ford Miniat and Nina Wurzburger. Drought sensitivity of an N2-fixing tree may slow temperate deciduous forest recovery from disturbance. Submitted to Ecology.

Sumathy Sinnathamby, Debra Denton, James Hook, Jeffrey M. Minucci, Leah Oliver, Sandy Raimondo, Ann Pitchford, Eric Waits, Yuan Yongping, Dirk Young, and S. Thomas Purucker. A Sensitivity Analysis of Pesticide Concentrations in California Central Valley Vernal Pools. In prep.

C.-H. Lin, D. B. Sponsler, R. T. Richardson, H. D. Watters, D.A. Glinski, W.M. Henderson, J.M. Minucci, S.T. Purucker, and R. M. Johnson. Honey bees and neonicotinoid-treated corn seed: contamination, exposure, and effects. In prep.