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
Previous work has consisted of:
1) Applying convolutional neural networks to large-scale satellite imagery to detect water in snow in the Western US
2) Using variational autoencoders (VAEs) to generate classifier counterfactuals
3) Using interpretability methods, explainable AI, and causal inference to understand groundwater loss in India
I earned dual bachelors degrees in Economics and Environmental Science from the University of Virginia in Charlottesville, VA.
I'm a big fan of soccer, rock climbing, and like to consider myself a connoisseur of cheap sushi and homemade fermented foods.