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WA "Drew" Pruett, PhD

Pruitt, Drew.jpg

Instructor
Office/Lab: G152; (601) 815-1316
Email: wpruett@umc.edu
 

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