Dr. John D. Kirwan

Computational biologist and data scientist with a track record of applying machine learning and statistical modelling to complex biological problems — from biomolecular structure prediction and de novo peptide design to metagenomic analysis and preclinical trial design.

My background combines rigorous quantitative training (Bayesian modelling, deep learning, MLOps) with hands-on experience across the full data pipeline — from experimental design through to deployment and reproducible reporting. I have worked at the interface of Biotech and AI in an industry research setting, contributing to work that reached commercial spinout stage and to a NeurIPS 2025 publication on uncertainty quantification in deep regression.