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Yimin Wang has extensive work experience in various roles, spanning from 2011 to the present. They started their career at Emory University, where they held multiple positions including Scientist, Unix System Administrator, and Postdoc Research Fellow. In these roles, they led research teams, developed regression models, designed algorithms, collaborated with researchers, and presented at conferences. Throughout their time at Emory University, Yimin published over 40 peer-reviewed journal articles. In 2016, they transitioned to Infor/LogicBlox as a Senior Software Engineer, and in 2019, they joined RelationalAI as a Senior Data Scientist. The provided information does not specify end dates for Yimin's roles at Infor/LogicBlox and RelationalAI.

Yimin Wang completed a Bachelor of Science (BS) degree in Chemical Physics from the University of Science and Technology of China between 2001 and 2005. Continuing their education, they pursued a Doctor of Philosophy (PhD) in Physical Chemistry from Emory University starting in 2005 and completing in 2010. In 2014, they attended Emory University's Goizueta Business School to earn a Master of Business Administration (MBA), which they completed in 2016.

In addition to their formal education, Yimin Wang has obtained several certifications. In July 2007, they attended the Summer School on Computational Materials Science at UIUC to attain a certification in "Quantum Monte Carlo from Minerals and Materials to Molecules." Yimin Wang also received certifications in "Scaling to Petascale" from the Virtual School of Computational Science and Engineering at LSU in August 2009, and "Many-Core Processors for Science and Engineering Applications" from the Virtual School of Computational Science and Engineering at NCSA in July 2009.