Edmonton, Alberta, Canada
I am an applied quantitative ecologist and quantitative biologist (PhD, PBiol.) with over 20 years of academic and applied experience in forestry, reclamation, and ecology. I specialize in Bayesian hierarchical modelling and uncertainty‑aware inference, integrating diverse ecological data sources and contextual knowledge into robust, decision‑relevant insights for environmental planning and management. My research has focused on tree water relations, climate adaptation strategies, and practical solutions for forest and land‑use management, supported by advanced expertise in statistical modelling, experimental design, and knowledge synthesis. I have a strong foundation in R programming and apply rigorous quantitative methods within multidisciplinary research teams to address complex ecological and environmental challenges in applied decision‑making contexts.
EnviroStats Solutions (https://www.envirostats.ca/) is a dynamic Edmonton-based consulting firm dedicated to delivering efficient and rigorous environmental statistics, data analysis, visualization, and interpretation services. Our focus revolves around the environmental domain, providing practical insights that drive meaningful decisions. Beyond our analytical services, we also offer professional training in statistics, data management, and visualization, all centered within the versatile R programming environment. These workshops are designed to empower you to confidently navigate the world of data.