Masters in Statistics and Machine Learning
RoVaD provides expert consulting and development services in statistics, machine learning, scientific programming and software engineering. We turn data into reliable insights and robust solutions for complex real-world problems.
Our services
Statistics & Modelling
Statistical inference, experimental design, uncertainty quantification and stochastic modelling.
Machine Learning
Predictive modelling, algorithm design, optimization and model evaluation.
Application Development
Scientific programming, workflows and data integration.
Public projects
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Statistical rigorous framework for Digital Soil Mapping
Framework for Digital Soil Mapping, extending machine-learning workflows to support uncertainty quantification and statistical inference at both local and land-use scales. Applied to the 2025 Cmon dataset in Flanders, the framework produces maps of soil organic carbon, bulk density, pH and soil texture, with reproducible workflows and validation against design-based estimates.
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Integrated Process Modeling Software
Integrated Process Modelling (IPM) combines experimental and manufacturing data to understand, optimize and control pharmaceutical manufacturing processes. The work applies statistical modelling and simulation for process optimization, risk assessment and control-strategy development. Part of the model for assay-validation is freely available as a demo application.
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Real estate analyser
Immolyser applies predictive modelling, simulation and geospatial analytics to real-estate decision-making. It supports property valuation, price-driver analysis, sales strategy, market mapping and renovation ROI assessment, helping real-estate businesses answer specific, high-impact commercial questions.
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Anomaly detection in time-series
Tailor-made statistical algorithms for detecting outliers, sensor drift and structural changes in environmental pressure time series. Implemented and documented in gwloggeR, an open-source R package, the methods combine automated anomaly detection with diagnostic visualizations to support transparent groundwater data validation.