Data science. Formerly data analytics & machine learning at Uber, and founder of the Deep Sheep Project. Passionate about intelligent decision-making systems, environmental science, imaginative art, & learning new things daily.
Before joining Underline as a data scientist, Will served in a variety of machine learning and analytics roles applying cutting edge techniques to real world problems in business and government. He began his data career at Uber as an analyst embedded with the Applied Machine Learning and Data Operations platform teams, prior to joining the Marketplace Personalization team. He then served as a data fellow with Delta Analytics and worked in conjunction with IDEO.org to develop a modeling approach to quantify outcomes for city government financial counseling recipients. He also founded the Deep Sheep Project, where he developed a neural network computer vision system to automatically classify wildlife images for the California Department of Fish & Wildlife. He did his graduate study in applied & computational mathematics at Johns Hopkins University, where his research focused on using dynamic Bayesian networks and time series data to quantify the causal impact of electrical company power shutoffs in reducing wildfire risk.