Andre Waschka

Dr. Andre Waschka serves as an Assistant Professor of Statistics at Mercer University's College of Liberal Arts and Sciences, specializing in applied statistical methodologies with biomedical applications. His work bridges data science, machine learning, and causal inference to address complex healthcare challenges.

His educational credentials include:

• 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

Research focuses on developing semi-parametric and parametric models for high-dimensional longitudinal data, emphasizing causal frameworks for treatment optimization in precision medicine. Current projects target positivity violations in complex studies, semi-parametric bootstrap simulations, and treatment rule development for ICU settings using targeted maximum likelihood estimation.

His 2020 publication on hydrocortisone therapies for septic shock demonstrates his application of statistical rigor to critical care medicine. No scientific awards, student advisement records, or laboratory affiliations were documented in the source material.