David loves solving novel problems with machine learning and sharing what he learns with others. His current role at Metis allows him to split his time between teaching data science and deepening his knowledge in reinforcement learning, deep learning, and natural language processing. Prior to Metis, David developed the machine learning back-end of a SaaS product for a leading supply chain company and led multiple facets of a big data cybersecurity project for the Department of Defense. Lately, David has enjoyed working on problems requiring out-of-core computation and online learning.
Sunday 3 p.m.–3:50 p.m. in Barbie Tootle