Headshot of Andre Waschka

Andre Waschka

Assistant Professor of Statistics

Department: Mathematics and Statistics

Office and address: No Building Available 2112 Campus Box Elon, NC 27244

News & Notes

Education

  • Ph.D. in Statistics, University of California, Berkeley
  • M.A. in Biostatistics, University of California, Berkeley
  • B.S. in Applied Mathematics, North Carolina State University
  • B.S. in Economics, North Carolina State University

Employment History

  • Assistant Professor of Statistics, Elon University, 2025 -
  • Assistant Professor of Statistics, Mercer University, 2021 - 2025

Research

Dr. Andre Waschka’s research interests are applied statistics and spans biostatistics, data science, and machine learning. He works on semi-parametric and parametric statistical models that involve high dimensional data and use causal framework and machine learning to estimate targeted parameters and obtain causal inference. Most of his work is motivated by problems from biomedical fields with application to treatment regime protocols and precision medicine. His current projects include:

  • Detecting and Mitigating Positivity Violations in Highly Dimensional Complex Longitudinal Studies
  • A Semi-Parametric Bootstrap Simulation Method Generating Simulated Datasets from the Original Data
  • Causal Effect Models for Realistic Treatment Rules in Complex Longitudinal Settings
  • Developing Treatment Rules that Optimize Health Outcomes Using Super Learning and Tree-Regression
  • Estimating When to Switch Treatment for Hypotensive ICU Patients Using Longitudinal Targeted Maximum Likelihood Estimation