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WA "Drew" Pruett, PhD

Instructor
Office/Lab: G152
Phone: 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.

Curriculum Vitae
Research Summary
Links to PubMed Articles