Yang Yang is a statistician interested in understanding data and digging signals via statistical modeling. Yang’s work involves developing metrics and methods to track the long-term success of web services and detect key drivers of user engagement and verify them rigorously through statistical analysis. Yang is also keen on developing novel statistical methods to solve real data problems. During her PhD at University of Michigan, Yang proposed new methodologies to analyze panel data with incomplete observations by stochastic optimization techniques and MCMC sampling.
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