Research
Environmental researcher · computational scientist
Working at the intersection of environmental toxicology and computational science.
Statement
Computational modelling of toxicological impact on human and ecological health, using ecological indicators to quantify human exposure and health burden.
Papers
Papers and data
Preprints and open data
01
Preprint · EarthArXiv
A Multi-Pathway Contamination Risk Model for Niger Delta Communities: Integrating Hydrocarbon Load, Heavy Metal Exposure, and Vegetation Stress Indices from Heterogeneous Observational Data
02
Preprint · ChemRxiv
Integrating GC-MS with Computational Toxicology for Pesticide Risk Assessment: An Open-Source Framework and Empirical Evaluation Against Environmental Samples
03
Dataset · Zenodo
Niger Delta Contamination Risk Dataset (v2)
Tools
Built for the research
Open source and interactive
Mavhir
The open-source computational-toxicity framework behind the ChemRxiv paper: standardised structures, molecular descriptors, QSAR classifiers and a message-passing graph neural network, served as a web API.
Niger Delta Contamination Risk Map
An interactive map of the contamination model: a risk grid you can switch on and off, hotspots, spill incidents and sample points at 1 km² resolution, with the model’s metrics shown alongside.
Areas
What I study
Three questions, one field
01
Mechanisms beyond structure
What structure-based prediction struggles to capture: bioaccumulation, environmental persistence and endocrine disruption in persistent organic pollutants.
02
Analytical chemistry meets computational toxicology
Joining GC-MS measurements with QSAR and machine-learning models, so a detected residue becomes a risk assessment.
03
Geospatial contamination modelling
Contamination and community exposure across space, from heavy metals and hydrocarbons in the Niger Delta to vegetation stress seen from satellites.
Contact
For a collaboration, a dataset, or a question about the work. A call books straight into my calendar.