As first Data Science Lead at Wates, Sara operates at the intersection of construction delivery and computational research.

With a focus on machine learning, causal inference, and complex systems modelling, they investigate how commercial risk emerges within large-scale projects and how it may be formalised into predictive architectures.

Their work centres on designing structured project memory systems that translate dispersed organisational experience into probabilistic decision support. Combining practical delivery insight with research-led modelling approaches, Sara is committed to advancing construction from retrospective explanation toward scientifically grounded foresight.