Biography

I'm a climate researcher, meteorologist, and data scientist. I enjoy figuring out what the atmosphere will do next and what that means for society, people, and industries. 

I hold a PhD in Climate Science, an MS in Atmospheric Science, and a BS in Meteorology. I've worked as a meteorology professor, delivered radio on-air forecasts, worked in the energy sector, and advised on climate risk and vulnerability for international development programs. Today I'm Lead Data Scientist at Western Weather Group, where I build machine learning systems for weather station quality control, wildfire risk, and forecast bias correction.

My research explores the predictability and physical drivers of climate variability, with applications to tropical cyclones, hydrology, severe-weather hazards, and climate impact assessment. I've taught undergraduate and graduate courses ranging from aviation meteorology and weather and climate modeling to the science of climate change and data science.

Here's a closer look at what I've worked on:

Research Interests

• Inter-basin interactions

• ENSO dynamics and predictability

• Teleconnections

• Tropical cyclones

• Hydrometeorology

• Climate modeling

• Numerical weather prediction

• ML and AI applications in climate and weather

• Climate vulnerability, risk, mitigation, and adaptation

Industry Applications

• Cloud-native MLOps pipelines for deploying and maintaining production models for weather and climate applications

• Electrical load forecasting

• Wildfire hazard and risk mapping

• Weather forecasting on Utah's NPR affiliate

• Catastrophe risk modeling to quantify flood, tropical cyclones, and wildfire impacts

• Climate vulnerability and risk assessments across sectors in developing countries

• Machine learning predictive frameworks for extreme weather and climate events

• Flood risk modeling for farmers in Central America

• Socioeconomic impacts of climate and extreme weather