My research focuses on how soft computing algorithms work -- beyond the metaphor. One result shows that simulated annealing doesn't simulate annealing (and can perform worse than hill climbing). We are interested in developing similar analytical tools for machine learning algorithms. Our first goal is to use these insights to improve their performance. More importantly, we hope to explain how machine learning models are built as a path to explaining how machine learning models operate.