Brendan brings several years of experience working with highly regulated and sensitive data, where he applied predictive modeling, causal inference, and statistical analysis to drive measurable outcomes. Coming from the healthcare industry, he developed models to surface risk, improve resource allocation, and build trust in analytical systems by emphasizing interpretability and compliance. This experience gave him a strong foundation in responsible AI and scaling analytics in regulated environments.
He was drawn to Cuesta’s collaborative, forward-thinking approach to AI and values the opportunity to work closely with organizations to design solutions that are not only effective but also actionable.
Brendan lives in Philadelphia, Pennsylvania. In his free time Brendan enjoys playing soccer, testing out baking recipes, and finding new music.