Decisions under uncertainty, shocks, supply chains, and autonomous vehicles
Prof Warren Powell taught at Princeton for almost 40 years, where he was drawn to the opportunity of bringing advanced analytics to the trucking industry which introduced him to the challenge of making high-dimensional decisions (such as assigning drivers to loads) under uncertainty. This problem guided a lifetime of research in stochastic optimization using approximate dynamic programming. His research produced over 250 papers and two books with the help of 60 graduate students and post-docs, supported by $50 million in research funding.
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