Dr Reece Lincoln

I build and deploy data science and machine learning solutions across nuclear, energy, and government. My work spans probabilistic modelling, uncertainty quantification, and end-to-end pipeline engineering — often in high-stakes contexts where decisions have long consequences and the cost of misplaced certainty is real.

At Frazer-Nash Consultancy, I lead multi-disciplinary teams and deliver decision-support tools that translate uncertain, high-stakes problems into quantified frameworks. Recent work has included probabilistic reactor lifetime forecasting that underpins continued safe operation, and Bayesian network tools that illuminate critical paths to net-zero policy goals. I integrate techniques such as Gaussian Process Regression and Bayesian networks to help clients make evidence-based investment decisions, optimise asset lifecycles, and quantify emerging market opportunities.

My route into applied data science ran through advanced composites. I completed a PhD at the University of Bristol on imperfection-insensitive continuous tow-sheared cylinders, working with the European Space Agency and iCOMAT on manufacturing techniques for mass- and cost-efficient composite rocket structures. Building surrogate models to accelerate structural optimisation — and rigorously characterising what those models did not know — shaped how I approach every applied problem since.

I am a Chartered Engineer, an Associate Fellow of the Higher Education Academy, a Member of the Royal Aeronautical Society, and government cleared. Where AI is now embedded in decision-making, honesty about uncertainty is not a nice-to-have. It is the substance of the work.