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The William Harvey Research Institute - Faculty of Medicine and Dentistry

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  1. WHRI
  2. Study
  3. Advanced AI for Multi-modal Spatial Biology - PhD Programme
  4. Projects and Partners

Projects and Partners

Recruited students will be able to select their specific topic of study from a range of PhD projects designed by our world leading academic research staff (for CASE projects this will be in conjunction with partners). Projects will focus on research that advances machine-learning methods to analyses multi-modal spatial biology data to address key biological questions. More specifically, all projects will aim to develop advanced AI approaches - for example, deep learning, graph neural networks, generative or explainable models - applied to forward looking spatial-omics challenges such as 3D segmentation, data fusion, or cell-cell interaction analysis. There will also be scope for evolution and co-design of projects to ensure a close match with students’ interests.

2026 Project Catalogue

Shortlisted candidates are welcome to contact project supervisors directly for further details about the available project opportunities listed below.

Project Code: BBSRC-DFA_2026_04

Title: Virtual spatial omics profiling from histopathology by foundation AI to reveal cross-species tissue and cellular dynamics in skin ageing

Project Code: BBSRC-DFA_2026_05

Title: Linking scales through AI-derived mechanistic laws from spatial multimodal data

Project Code: BBSRC-DFA_2026_08 (CASE)

Title: AI-Enabled Cross-Modal Integration of Electrophysiology and Spatial Transcriptomics to Decode Sleep Architecture

Project Code: BBSRC-DFA_2026_10

Title: Geometry of Senescence: Spatial AI for Population- and Perturbation-Dependent Heterogeneity

Project Code: BBSRC-DFA_2026_12

Title: Decoding the Topological Grammar of Ectopic Lymphoid Structures using Multimodal Graph Neural Networks

Project Code: BBSRC-DFA_2026_14

Title: Spatial mapping of molecular processes in the living brain through integration of transcriptomic, imaging and genomic data

Project Code: BBSRC-DFA_2026_15

Title: Random-walk based AI for integrative multi-layer analysis of spatial and bulk omics data in human brain tissue

Project Code: BBSRC-DFA_2026_17

Title: Advanced Computational Imaging and Generative AI for High-Fidelity modelling of Multi-Modal Spatial Biology

Project Code: BBSRC-DFA_2026_18 (CASE)

Title: Generative Spatial Gene Intelligence (GSI) for Human Muscle Dynamics

Project Code: BBSRC-DFA_2026_19

Title: Mechanics-informed graph neural operators for multimodal spatial decoding of mechanochemical pathways in arterial remodelling

Project Code: BBSRC-DFA_2026_20

Title: Generative 3D Reconstruction of Cellular Architecture from Multimodal Spatial Omics Data

Project Code: BBSRC-DFA_2026_21 (CASE)

Title: Multimodal 3D Tissue Modelling (M3TM) for Metabolic Status

Project Code: BBSRC-DFA_2026_22 (CASE)

Title: Conditional Representation Learning for Integrative Analysis of Spatial Lung Tissue Data

Project Code: BBSRC-DFA_2026_23 (CASE)

Title: Spatial Atlas of Lung Tissue Fronts: Deep Learning–Enabled Segmentation and Microenvironmental Gradient Analysis

Project Code: BBSRC-DFA_2026_25

Title: Advancing AI methods for intracellular localisation of transcripts within neurons

Project Code: BBSRC-DFA_2026_26

Title: Interpretable Attention Map-Based Subcellular Localisation of Transcripts Using Compartment-Specific Protein Signatures

Project Code: BBSRC-DFA_2026_27

Title: Learned compression and latent-space analytics for multi-modal spatial biology

Project Code: BBSRC-DFA_2026_02

Title: AI-Driven Multimodal Modelling of Spatial Immune Recognition and Evasion in Gastrointestinal Cancer
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