John Eason is an accomplished professional with extensive experience in optimization and analytics. As the founder and analytics consultant at Exenity, John provided advanced decision-support solutions utilizing mathematical optimization and prescriptive analytics from October 2019 to September 2020. Prior to this, John served as an optimization engineer at EQT Corporation from June 2018 to September 2019, where collaboration with internal teams yielded valuable insights through enterprise analytics applications. Currently, John works at Meta as a software engineer specializing in network modeling and optimization, addressing complex challenges in the design and operation of global infrastructure. John also gained research experience as a visiting researcher at Zhejiang University in late 2017. Educational credentials include a Ph.D. in Optimization from Carnegie Mellon University and a Bachelor's degree in Chemical Engineering from The University of Tulsa.
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