HIT (Hypergraph Interaction Transformer) for therapeutic gene prediction (Authors' PyTorch Implementation).

MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models (MICCAI 2025 COMPAYL Oral)

Implementation of the paper "Fusion Strategies for Breast Cancer Characterization Using Traditional and Deep Learning Models".

Transcriptomic analysis of WNT/TGFβ/EMT signaling in epithelial ovarian cancer (EOC) datasets.

MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models (MICCAI 2025 COMPAYL Oral)

Foundation model for health trajectory prediction — architecture shootout across Transformer, Mamba, and Continuous-Time

IHGAMP: pan-cancer prediction of homologous recombination deficiency from routine H&E whole-slide images using OpenCLIP and OpenSlideFM foundation models. Validated on 19,996 TCGA WSIs across 31 cancer types and 7 external cohorts. APMIS 134(4):e70211, 2026.

[AAAI FSS 2024] Deep learning framework for biological age prediction from DNA methylation data with preprocessing, CpG feature selection, model training, evaluation, and visualization pipeline.

MRI biomarker analysis scripts from MSc Clinical Neuroscience dissertation, UCL

Bias-aware multimodal pancreatic cancer detection using CT imaging and urinary biomarkers, with ResNet50 CT modelling, biomarker MLP classification, and exploratory fusion analysis.

Multi-omics characterization of the oral-gut-brain axis in Parkinson's disease using shotgun metagenomics, microbial biomarker discovery, and machine learning.