Scotland C. Leman
Scotland Leman is associate professor in the Department of Statistics at Virginia Tech. He earned a master of science degree in computational from Stanford University and his Ph.D. from the Department of Statistical Science at Duke University
His core research interests include Bayesian statistics on both a theoretical and inferential level; MCMC mixing theory; data augmentation for efficient simulation; and large-scale stochastic modeling. Additionally, he has a strong interest in visualization techniques, which involve Human-Computer-Interaction. More specifically, given visual displays, he is interested in how users can inject feedback so that resulting displays are a merger between the data, visualization model, and the user's cognitive insights. Such methods prove to be exceedingly useful in exploring relevant information in very high-dimensional spaces.
Publications
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General ItemInteractive Visual Analytics for Sensemaking with Big Text Date: Apr 24, 2019 -
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General ItemSIRIUS: Dual, Symmetric, Interactive Dimension Reductions Date: Aug 19, 2018 -
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Projects
In the News
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Data scientists combat hate crimes and other violence , article Date: Apr 19, 2021 - -
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DAC Director Naren Ramakrishnan named Inventor of the Month , article Date: Nov 21, 2016 -
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