About Me

Recently I have been focusing on NLP topics such as text generation with Large Language Models (LLMs) and aligning those models through reinforcement learning from human feedback (RLHF) to customer data

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Previous work has consisted of:

1) Applying convolutional neural networks to large-scale satellite imagery to detect water in snow in the Western US

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2) Using  variational autoencoders (VAEs) to generate classifier counterfactuals

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3) Using interpretability methods, explainable AI, and causal inference to understand groundwater loss in India

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Other stuff:

I earned dual bachelors degrees in Economics and Environmental Science from the University of Virginia in Charlottesville, VA.

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I'm a big fan of soccer, rock climbing, and like to consider myself a connoisseur of cheap sushi and homemade fermented foods.