Causal Biosystems Lab

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People

Members of the Causal Biosystems Lab and their research projects.

Dr Kanthu Joseph Mhango

Lab lead · Senior Lecturer in Applied Data Science · BSc MSc PhD FHEA

Joseph combines agronomy, crop physiology, deep phenotyping and causal computation to build physiologically meaningful decision-support systems.

University profile · ORCID · LinkedIn

• Trainable mechanistic potato growth modelling
• Frozen phenotypic reference spaces
• Knowledge-guided soil water modelling
• Precision destoning
• Rural and coastal flood resilience
• Shropshire acoustic sensor network

Sarah-Jane Childs

PhD researcher · remote sensing and machine learning for potato breeding

Sarah-Jane develops high-throughput approaches for connecting canopy observations with physiological traits and crop performance.

LinkedIn

• Breaking breeding bottlenecks

Femi Adekoya

PhD researcher · remote sensing for crop health and yield forecasting

Femi combines field sensing, crop modelling and machine learning to support earlier crop-health decisions in cassava systems.

LinkedIn

• Remote sensing for cassava disease detection and yield prediction

Callum Barnsley

Researcher · photogrammetry, digital twins and machine learning

Callum studies how processing choices influence the reliability of reconstructed 3D environments and digital assets.

• Photogrammetric alignment and digital-twin fidelity

Collaborate with us

We welcome conversations with researchers, breeders, physiologists, engineers and industry partners working on mechanism-aware phenotyping, crop modelling, sensing or agricultural decision support. See Contact.