* Principle Investigator on Intelligen, a project focused on optimal responses to the unforeseen for machine learning* Principle Investigator on DARPA ACE and AFRL Golden Horde, projects focused on AI/reinforcement learning algorithms for multi agent learning* Co-PI on DARPA AlphaDogfight where we demonstrated how to apply reinforcement learning to enable completely automated flight of a fighter aircraft in a simulated dogfight engagement.* PI of the SMARL (scalable multi-agent reinforcement learning) where we derived an algorithm for multi-agent reinforcemeng learning that enables multiple agents to coordinate in a computationally effective manner. * Designed and implemented a novel algorithm to improve out of sample performance for image-based agents in reinforcement learning.* Author of rlgear, a wrapper around ray and rllib that makes investigating new reinforcement learning algorithms a bit more turnkey* Author of SCRIMMAGE, a multi-agent simulator designed for robotics platforms that provides a gym-like interface for multi-agent robotics systems

• Chair of Investment Policy Committee Systemic Risk Committee• Applied decision analysis to bond and equity modeling• Developed quantitative models to forecast inflation• Established new analysis metrics to evaluate commodities• Created analytical tools for economic, systemic risk, and valuation platforms• Wrote monthly internal economic analysis• Recorded podcasts addressing economic events• Presented monthly valuation and risk assessment• Developed new SQL database• Programmed DLLs in C for Excel®• Linked SQL capabilities to Excel®• Established new reporting system for client advisors