I am currently a PhD Student at CU Boulder in Atmospheric and Oceanic Science, working in the Climate Processes and Predictability research group. My background includes an undergraduate degree in Physics, a Masters in Civil and Environmental Engineering, and 5 years in environmental consulting before making my way back to research in the Fall of 2021. I am interested in the intersection of process-based models and observations, and am currently working on ways of using machine learning to improve data assimilation methods.
- Non-linear data assimilation
- Machine learning
- Bayesian statistics
- Predictability and uncertainty quantification
- Process parameterization schemes