Science and statistics-driven solutions for a changing future

Helen is a creative thinker, writer, and statistical hydrologist passionate about finding and communicating technical solutions for managing water resources in a future of increasing climate stress. They are particularly interested in the intersection of catchment hydrology, changing snowpack in mountainous regions, and water resources. Their expertise spans statistics, data science, hydrology, ecohydrology and more.

Current Work

Helen is currently a Masters student at the University of British Columbia in the HydroGeoScience for Watershed Management Laboratory. Their current work focuses on developing dynamic statistical inference methods for detecting and understanding shifts in hydrologic functioning under climate stress. Specifically, they are working on implementing state space copulas for representing shifts in the relationships between catchment state and surface water discharge for inferring event scale flood and drought response across catchments with varying climate and geological properties.

Areas of Expertise

Statistical Inference and Time Series Analysis

Statistics-driven understanding of dynamic environmental systems.

Machine Learning

Data driven predictions for key environmental variables.

Ecohydrology

Developing insight into how changing hydrology impacts ecosystem function.

Catchment Hydrologic Function

Surface and subsurface hydrological dynamics under climate-driven stress.

Helen lives and works in Vancouver B.C. on the unceeded and ancestral lands of the of the Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil- Waututh) Nations.

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