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Hua Shen is an Associate Professor in the Natural Sciences Program at the University of Calgary. With a Ph.D. in Statistics from the University of Waterloo, obtained in 2014, and a Master's in Biostatistics in 2009 from the same institution, he has developed a robust academic profile in statistical methodologies. Dr. Shen's research interests primarily focus on Lifetime Data Analysis, Missing Data, Measurement Error Misclassification, and Mixture Models. He also delves into Data Heterogeneity, High-Dimensional Data Analysis, and issues surrounding Biased Sampling and Selection Bias, particularly within the context of Causal Inference and Public Health Medical Applications. Furthermore, Dr. Shen is engaged in interdisciplinary collaborations and provides statistical consulting, emphasizing Generalized Linear Models. He is passionate about mentoring MSc and PhD students with strong mathematical backgrounds and computational skills. Alongside his research endeavors, he actively participates in university strategic initiatives and teaches various courses related to biostatistics.
Department of Computer Science Master's program. GRE scores are expected for international students.