Welcome!

As a PhD-trained data scientist and ecologist with over 9 years of expertise, I specialize in transforming complex data into actionable insights. My passion lies at the intersection of spatial data analysis, machine learning, and data visualization applied to ecological studies. With a strong interdisciplinary background in statistics, spatial analysis, and ecology, I work at the interface of data science and biodiversity conservation. My career spans academic research and consultancy, with a focus on wildlife, urban nature, and ecological networks. My research interests are in urban ecology and landscape ecology, forestry, biodiversity conservation, biodiversity monitoring, ecosystem services and urban patterns. I also have a keen interest in modelling and (interactive) data visualisation.

Since 2014, I’ve been involved in teaching and mentoring, including university-level courses in statistics, spatial statistics, and R programming (in France, Luxembourg and Belgium).

Technical skills

• Programming: R, Python, Bash, SQL, with previous experience in MATLAB, SAS and Stata.
• Statistical Modeling & Machine Learning: Proficient in handling spatial and temporal data.
• Bayesian Data Analysis: Skilled in analytic programming with R and Python.
• Dashboard & Web Applications: Proficient in Plotly, R Shiny, Dash, Tableau for data visualization and analytics.

• GIS & Spatial Data Science: Experienced in R, Python, Leaflet, QGIS, ArcGIS, Graphab, and MitiConnect.

• Short CV
• Works
  • CO-HABITAT project
  • PhD project

List of posts

• CO-HABITAT project

Posts per tag

project co-habitat brussels

• CO-HABITAT project