About Me

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

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2) Using feature importance methods to provide causal interpretations to random forests for predicting groundwater loss in India

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3) Using  representation learning to generate counterfactuals

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Other stuff:

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.

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I'm a big fan of soccer, rock climbing, and like to consider myself a connoisseur of delicious $1 pizza.