Kan Wang is a highly skilled data scientist with extensive experience in biostatistics and data analysis, holding a Ph.D. from the University of Southern California. Notable work includes contributions to NIH projects focused on genomic data analysis, feature selection, and Bayesian models, along with the development of the R package "Q1reg." As a Teaching Assistant, Kan held lab sessions and workshops on statistical software. Subsequent roles at Insight Data Science involved creating a sports highlight app using named-entity recognition, while positions at Google encompassed building optimization algorithms and maintaining a high-value bidding pipeline. Educational qualifications also include degrees in mathematics and statistics from Wuhan University and the University of Southern California.
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