Adam Stone

Bayesian Statistics, Machine Learning, Predictive Modelling, Spatial Partitioning, Statistical Learning, Computational Geometry, Algorithmic Design and Uncertainty Quantification. My research focuses on developing Bayesian methodologies for complex data structures, with applications in many industries including robotics, environmental science, and risk modelling.

As the creator of the AddiVortes Algorithm, my primary focus is driving its ongoing development and refinement. I am deeply committed to advancing its underlying architecture, with the ultimate goal of establishing it as the premier black-box model. By continuously enhancing its analytical capabilities and operational performance, I aim to position the algorithm at the forefront of modern predictive modelling.