ABOUT ME
I work as a postdoctoral research associate on the Warn-on-Forecast (WoF) program; an effort to provide rapidly-updating probabilistic severe weather guidance for forecasters. I recently obtained my Doctorate from the University of Oklahoma. In graduate studies, I have explored supercell predictability, rare-event forecast verification, and machine learning (ML) methods. In my recent research, I have implemented ML methods into WoF and developed tools for ML explainability (PyMint)
Machine Learning Explainability
Implementing methods to explore and understand the relationships learned by machine learning methods.
EDUCATION
2017 - 2020
University of Oklahoma
Ph.D., Meteorology
2015 - 2017
University of Oklahoma
MSc., Meteorology
2012 - 2015
Ball State University
BSc., Geography
Conc. in Meteorology and Climatology
Minor in Mathematics
RESEARCH INTERESTS
Machine Learning Prediction
Implementing statistical techniques to calibrate current severe weather forecast probabilities.
Forecast Verification
Development of novel verification technique for short-term, rare-event probabilities.
Simulated Supercells
Exploring practical and intrinsic predictability and sensitivity to model parameters