About Me

My current research focuses on applications and properties of machine learning in predicting groundwater loss in India. Recently I have been focusing on three major areas:

1) Developing novel feature importance methods to provide causal interpretations to models such as random forests.

2) Using Variational Autoencoders and Bayesian machine learning to understand counterfactuals from satellite images

3) Bringing causal inference methods to  representation learning over image data.

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.

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