Jodie Simkoff is a seasoned data scientist and operations researcher whose work centers on the intersection of algorithmic supply chain management and optimization theory. They hold a Ph.D. in Chemical Engineering from The University of Texas at Austin, where their research focused on production scheduling under uncertainty in smart manufacturing, leading to multiple peer-reviewed publications. Jodie has held significant roles at HP and Nike, where they developed and maintained optimization models for decision-making in manufacturing and supply chain contexts. Currently, Jodie serves as a Principal Data Scientist at HP, emphasizing the application of advanced analytics and optimization techniques in real-world scenarios.
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