معرفی
David Soave is an Assistant Professor at Wilfrid Laurier University's Faculty of Science, specializing in statistical genetics and predictive modeling for health outcomes. His research focuses on design and analysis of two-phase studies, with particular emphasis on clonal hematopoiesis, cancer risk prediction, and epigenetic biomarkers. His work bridges statistical methodology development and translational health research, aiming to improve early disease detection and understand genetic influences on aging and chronic conditions.
Key research themes include leveraging cell-free DNA methylation and fragmentomic signatures for early cancer identification, investigating the role of psychosocial factors in cancer incidence through large-scale meta-analyses, and analyzing mutation dynamics in aging populations. His methods-driven approach has yielded novel insights into clonal evolution in blood systems and the genetic basis of cystic fibrosis-related complications.
Publications highlight interdisciplinary applications of statistical genetics, including studies on pre-diagnosis breast cancer methylome profiling and the interplay between recombination events and gene expression. While no specific scientific awards are listed, his contributions to cancer biomarker research and two-phase study design demonstrate significant academic impact.
David supervises student research in statistical methodology and health outcomes analysis, though specific advisee names are not provided in available materials. His office is located in LH3071 Lazaridis Hall, and he can be contacted via dsoave@wlu.ca for collaboration opportunities.
