Edward De Vol

Dr. Edward De Vol is an academic quantitative scientist and currently a Principal Scientist at KFSHRC, where he founded the Advanced Diagnostic Analytics Research Group, focusing on statistical methodology for the development, validation, and clinical evaluation of in-vitro diagnostics. His scholarly work spans oncology, transplantation, cardiovascular disease, infectious diseases, epidemiology, and health services research, with extensive contributions to survival analysis, diagnostic accuracy, predictive modeling, and meta-analysis.

Previously, he served as Chair of Biostatistics, Epidemiology, and Scientific Computing, leading large multidisciplinary research support units, and as Vice President of Quantitative Sciences at Baylor Health Care System. His current academic focus includes translational diagnostics, advanced statistical modeling, and strengthening quantitative infrastructure to support high-impact clinical research.

Probability and stochastic process models

Latent class growth models

Time-to-event models

Meta-analyses

Dr. De Vol is a senior biostatistician and quantitative science leader with nearly four decades of experience spanning academic medicine, healthcare systems, industry, and international research institutions. He has worked in industry, supporting FDA-regulated in-vitro diagnostic development and submissions across multiple disease areas.

He has held senior executive and departmental leadership roles at KFSHRC, and led large multidisciplinary teams, overseen multimillion-dollar research budgets, and contributed extensively to clinical trials, epidemiology, diagnostics, and health services research.

Dr. De Vol holds a PhD and MS in Biostatistics and an MA in Statistics from the University of Michigan, an MBA from Duke University, and executive training from MIT Sloan.