Wei Dai is a Statistician at Abbott since May 2018, focusing on R transition from SAS, manual analyses, and managing data management systems. Previously, Wei held positions as a SAS programmer and Research Assistant at Loyola University Chicago, where logistic regression models were developed and statistical data was cleaned and analyzed. Prior experience includes environmental engineering at Urban GIS, overseeing air monitoring activities and data management, as well as consulting on environmental technology at Cornerstone China Advisors. Wei holds a Master's degree in Statistics from Loyola University Chicago and a Master's degree in Environmental Engineering from the Illinois Institute of Technology.
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