I am a hybrid operational meteorologist and researcher focused on integrating the latest science with the National Weather Service’s forecasting process.

• Operational model and forecast verification
• Developed neural network and linear models to predict ENSO and U.S. temperature and precipitation at weeks 3-4 leads
• Operational forecaster: MJO and tropical hazards, U.S. hazards, weeks 3-4 forecasts
• Python w/ ArcPy scripting to support ArcMap use in our operational products.

I was a contractor for the Climate Prediction Center charged with creating operational tools for week 3-4 forecasts.

• Dynamical model calibration for tools that support weeks 3-4 forecasts
• Provided guidance and assistance on MJO and tropical hazards products

I was in a consulting position to help RiskPulse improve predictions for their customers.

• Worked to improve predictions using intraseasonal and interannual atmospheric and oceanic variability
• Spearheaded a number of projects to assess model skill and bias under different atmospheric regimes; created a website with this information for clients
• Worked with team to refine our predictability ideas and incorporate them into other projects as appropriate

I was a contractor working in the GES-DISC data center at NASA Goddard Space Flight Center.

• Managed a transition of metadata for > 1,000 products to a new database
• Created multiple Python programs to interface with EarthData’s RESTful API for myself and others to use to aid the metadata transition.

I was a full-time lecturer for four semesters while finishing my dissertation.

• Created and taught courses to undergraduates: Introduction to Meteorology, Tropical Meteorology, Physical Meteorology (Thermodynamics), Environmental Issues, and Senior Seminar