Summary
Modern engineering and economic challenges often involve complex systems that push the limits of traditional approaches, driven by uncertainty and the high dimensionality of real-world data. Scientists in a variety of fields have unprecedented access to massive amounts of data which hinge on complex structures. Decision makers often need to optimize strategies involving large populations full of randomness. This project will address these challenges by developing principled approaches for analyzing and solving complex systems. The project will focus on developing innovations in stochastic cont
