Leanna House

Bayesian statistical modeling with an emphasis in model averaging, kernel regression, and Bayes linear; Uncertainty analysis of computer models/experiments; Data mining coupled with data visualization that promotes human-data interaction; Applications in proteomics, bioinformatics, cosmology, climatology, hydrology, and homeland security.

NSF #2118240 (2021-2026). HDR Institute: Imageomics: A New Frontier of Biological Infor- mation Powered by Knowledge-Guided Machine Learning. NSF,Directorate for Computer and Information Science and Engineering (CISE), PI-OSU: Berger-Wolf, T., PI-VT: Karpatne, A., Co-PIs-VT: House, L., Uyeda, J., $14,969,077 (total), $1,340,635 (VT-subAward)(Co-PI, 33% of VT, 3% of Total).

Center for Advanced Subsurface Earth Resource Models (CASERM), A. (2020-2021). Inte- grating Sequential Simulation and Visual Ensemble Analytics for Applications in the Mining Sector. CASERM Annual Award, PI: Pollyea, R., Co-PI: House, L., Polys. N. $54,000(Co- PI,33%).

Social Determinants of Health Personal Metrics and Population Development; $96,905 for 2018; Co-Principal Investigator; Socially Determined (sociallydetermined. com).

NRT-DESE: UrbComp: Data Science for Modeling, Understanding, and Advancing Urban Populations; $2,999,238 for 2015-2020; Co-Principal Investigator; National Science Foundation, Division of Graduate Education; #1545362.

BIGDATA: F: DKA: Usable Multiple Scale Big Data Analytics Through Interactive Visualization; $998,912 for 2014-2017; Co-Principal Investigator; the National Science Foundation, Division of Information and Intelligence Systems; #1447416

Critical Thinking with Data Visualization (CTDV); $199,943 for 2013-2016; Principal Investigator; the National Science Foundation, Division of Undergraduate Education; #1141096

Dimensions: Collaborative Research: Diversity and Symbiosis: Examining the Taxonomic, Genetic, and Functional Diversity of Amphibian Skin Microbiota; $1,205,921 for 2011-2015; Co-Principal Investigator; the National Science Foundation, Division of Environmental Biology; #1136640

Bayesian Visual Analytics (BaVA); $499,307 for 2009-2012; Co-Principal Investigator; the National Science Foundation, Division of Computer and Communications Foundations; #0937071

Systems Biology of Metabolic Regulation for Rational Metabolic Engineering in Soybean Seeds; $61,000 for April 2010-April 2012; Co-Principal Investigator; United States Department of Agriculture and Virginia Tech College of Agriculture and Life Science

Design of Variation: Data Matching/Large Model Methods; $17,364 for October- December 2009;; Principal Investigator; Pratt and Whitney

Here is an R package and vignette for peak identification in MALDI-TOF using Lark. The functions in this package implement the methods in "Nonparametric Models for Peak Identification in MALDI-TOF Mass Spectroscopy": larkPeaks, vignette.

Data analyzed in "Expert-Guided Generative Topographical Modeling with Visual to Parameteric Interaction": NIH Data.

Here is an R package for filtering variables when there is a Multinomial Response. The functions in this package implement the methods in "Dimension Reduction for Multinomial Models Via a Kolmogorov-Smirnov Measure (KSM)": KSmeasure.

Here is a Matlab macro for visualizing sensor data to assess data quality. This macro is described in the paper, "Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality" : ODSS.

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