Background

Rodrigue was recruited as a Data Scientist at the Institute of Exact and Applied Sciences (ISEA), University of New Caledonia (UNC). He was assigned to the following project: Data analysis on freshwater and groundwater in New Caledonia. For this project, Rodrigue applied various statistical methods to define a drinking water threshold specific to New Caledonia. In addition, he developed a graphical user interface to visualize all his analyses –including sampling maps and statistical tests– with the aim of providing a decision-support tool.

During this period, Rodrigue also had the opportunity to join the Data Science research team. As a result, he contributed to the writing of two research papers, focusing respectively on time series analysis and image processing.

Work environment: Python (TensorFlow, scikit-learn, seaborn, Plotly, Dash, …), Jupyter Notebook, QGIS, Microsoft Access, PostgreSQL.
Institute website: ISEA

To complete his Master’s degree, Rodrigue completed a six-month internship at a small-to-medium enterprise (SME) specializing in data-driven marketing. He was assigned to a Deep Learning project, where he developed an object detection method based on Deep Learning techniques to identify residential swimming pools from satellite imagery.

During his internship, Rodrigue analyzed more than 200 million images (approximately 2TB of data). Thanks to his optimized algorithm, he successfully processed the entire dataset in two months instead of the initially estimated five years, earning praise from the company’s Research and Development team.

Work environment: Python (TensorFlow, PyTorch, scikit-learn, seaborn, Plotly, …), Jupyter Notebook framework, QGIS.
Company website: IDAIA Group

Rodrigue defended his Ph.D. in Computer Science on August 21, 2025, at the University of New Caledonia. His dissertation, entitled “Deep Learning on Attributed Graphs for Mapping Leptospirosis Risk” was conducted under the supervision of Prof. Nazha Selmaoui-Folcher from the University of New Caledonia and Prof. Philippe Fournier-Viger from Shenzhen University, China.

See the Research section for more information.

In 2019, Rodrigue earned his Master’s degree in “Applied Mathematics and Statistics, specialization in Statistical and Stochastic Modeling” from the University of Bordeaux (France). During his studies, he explored, among other topics, the theoretical aspects of Deep Learning, stochastic algorithms, signal and image processing methods, as well as data mining and high-dimensional statistical techniques.

Rodrigue graduated with honors.

In 2017, Rodrigue earned his Bachelor’s degree in “Mathematics and Computer Science Applied to Social Sciences, specialization in Economics and Management” from the University of Bordeaux (France). During his studies, he had the opportunity to acquire strong skills in both mathematics and computer science.

In mathematics, Rodrigue gained expertise in inferential statistics, econometrics, topology, and linear algebra. In computer science, he developed strong programming skills. He is particularly proficient in Python, R, and SQL, and also possesses advanced skills in \(\LaTeX\), MATLAB, SAS, Java, HTML, CSS, and PHP.

Rodrigue graduated with honors.