Nada Ben Mhenni

Led end-to-end project lifecycles, including planning, executing data analysis, programming Python scripts to calibrate predictive models, and delivering final technical reports. Supported the development of clients' sustainability solutions through collaborating with operation and product teams.

Explored drought characteristics and their effect on vegetation activity and agriculture production around the Mediterranean. Contributed to peer-reviewed publications and programmed data analysis pipelines in R.

Implemented several variants of the analog method to disaggregate daily rainfall, working with merged radar data and programming automated workflows in R. Conducted a comprehensive literature review on the temporal disaggregation of daily rainfall.

Executed extensive fieldwork operations across aquatic and terrestrial ecosystems to monitor and measure greenhouse gas emissions. Conducted advanced data analysis to classify diverse ecosystems as either greenhouse gas sources or sinks.

Doctoral studies in the Graduate School of Environmental Studies, all but dissertation.

Master's courses in Fluid Dynamics, Energy & Transfers, completed courses.

Master's degree in Hydraulics & Environmental Modeling.

Engineering degree in Hydraulics & Environmental Engineering.

Intensive program in Mathematics & Physics, prepared for national exam.