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W.A, 'Drew' Pruett, PhD

Instructor Office/Lab: G152; (601) 815-1316 Email

Areas of expertise

• General: Use of mathematical modeling to study cardio-renal axis, machine learning for data interpretation, visualization of high dimensional data sets for pattern recognition
• Specific: Systems integration of hormones, vasculature and tubular effects to maintain water and electrolyte homeostasis, topology-based analytic methods, support vector machine and ridge regression methods for surrogate model construction, nearest neighbor regression and Markov chain methods for model calibration/parameter inversion, in silico clinical trials of pharmaceutical or device interventions targeting the cardio-renal axis, Boolean and multilevel network analysis

Research methods

The computational modeling lab uses an integrative model of human physiology, HumMod, as its prime research tool, as well as a suite of ancillary software to calibrate, validate, extend, and analyze the model.  Our commonly used methodologies include:

• Topological data analysis
• Visualization of high dimensional data
• Pattern recognition algorithms
• Surrogate modeling techniques
• Parameter inversion methods including nearest neighbor regression and Bayesian melding

For more information

• Curriculum vitae
• Summary of research
• Links to PubMed articles