Main ContentW.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