My past research focuses on applications and properties of machine learning to hydrology. Recently I have been focusing on three major areas:
1) Predicting water in snow in the Western US and understanding the impact of missingness from cloud cover to convolutional neural networks
2) Using feature importance methods to provide causal interpretations to random forests for predicting groundwater loss in India
3) Using representation learning to generate counterfactuals
I earned dual bachelors degrees in Economics and Environmental Science from the University of Virginia in Charlottesville, VA in 2016. After graduation, I lived in India as a research assistant investigating ground water pollution in Rajasthan for a year.
I'm a big fan of soccer, rock climbing, and like to consider myself a connoisseur of delicious $1 pizza.