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  2. Nathan Yau - Wikipedia

    en.wikipedia.org/wiki/Nathan_Yau

    He graduated in 2007 with a Master of Science and in 2013 with a PhD in statistics from the University of California, Los Angeles. [1] [3] [4] His dissertation was titled "An Online Tool for Personal Data Collection and Exploration" and focused on self-surveillance techniques.

  3. Roger Peng - Wikipedia

    en.wikipedia.org/wiki/Roger_Peng

    Roger D. Peng is an author and professor of Statistics and Data Science at the University of Texas at Austin. [1] [2] Peng originally received a Bachelor of Science in Applied Mathematics from Yale University in 1999, before going on to study at the University of California, Los Angeles, where he completed a Master of Science in Statistics in 2001 and a PhD in Statistics in 2003.

  4. Mei-Ling Ting Lee - Wikipedia

    en.wikipedia.org/wiki/Mei-Ling_Ting_Lee

    She earned her PhD in statistics from the University of Pittsburgh in 1980, [1] [3] and has become a naturalized US citizen. [ 3 ] She has worked on the faculty of Bridgewater State College (1983–1984), Boston University (1984–1992), the Harvard Medical School (1993–1999), the Harvard School of Public Health (2000–2005), Ohio State ...

  5. Vijayan Nair - Wikipedia

    en.wikipedia.org/wiki/Vijayan_Nair

    Vijay received his undergraduate degree in Economics from the University of Malaya, Malaysia and his PhD in Statistics from the University of California, Berkeley. He has published on a wide range of topics in statistical methodology and inference, engineering statistics, network tomography, reliability, design and analysis of experiments ...

  6. Sudipto Banerjee - Wikipedia

    en.wikipedia.org/wiki/Sudipto_Banerjee

    Subsequently, he moved to the United States and obtained an MS and PhD in statistics from the University of Connecticut in 2000, [1] where he was introduced to Bayesian statistics and hierarchical modeling by Alan Enoch Gelfand [1] who had been a pioneer in the development of the Gibbs sampler and Markov chain Monte Carlo algorithms in Bayesian ...

  7. Rafael Irizarry (scientist) - Wikipedia

    en.wikipedia.org/wiki/Rafael_Irizarry_(scientist)

    Irizarry joined the Johns Hopkins Bloomberg School of Public Health in 1998, where his research focused on genomics and computational biology. [6] He has worked on the analysis and processing of data arising from microarray experiments and helped develop the Robust Multiarray Analysis (RMA) method for microarray analysis in collaboration with statistician Terry Speed and colleagues; [8] this ...

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