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Wing Hung Wong is the Stephen R. Pierce Family Goldman Sachs Professor of Biomedical Data Science and Statistics at Stanford University. He holds joint appointments in the Department of Statistics and the Department of Biomedical Data Science. His research interests focus on Bayesian Statistics, Computational Biology, and Precision Medicine, exploring innovative semiconductor-based automation for biological experiments. He's known for contributions utilizing Monte Carlo algorithms in Bayesian computation, asymptotic inference for high-dimensional problems, and developing bioinformatics tools for analyzing microarray and sequencing data. His current projects involve gene regulatory analysis through integrative modeling of diverse cell types and advancing semiconductor technologies for novel biological investigations.
Stanford University • Stanford, California
Wong teaches and conducts research in the Departments of Statistics and Biomedical Data Science.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.