Wei Ge is a highly experienced professional with a strong background in financial analytics and computational research. Currently serving as Senior Manager of Strategic Financial Analytics at ICE since January 2022, Wei Ge focuses on financial analytics related to energy and financial derivatives trading, predictive modeling using machine learning, and supply chain analytics for renewable energy materials. Previously, as Director of Research at Parametric from June 2014 to November 2021, Wei Ge oversaw the design and implementation of quantitative investment analytics systems. Wei Ge also held positions at UBS Global Asset Management as a Quantitative Research Analyst, at Merck as a Senior Research Scientist in Computational Genomics, and at Rutgers University as a Research Assistant in Computational Biology. Wei Ge's educational credentials include an MBA with Honors from The University of Chicago Booth School of Business, a BS in Biotechnology from Peking University, and a Ph.D. and M.S. in Computational Molecular Biology and Computer Science from Rutgers University.
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