About Alexander Young

I'm Alexander Young, an applied mathematician and AI graduate student with deep expertise in machine learning, predictive modeling, and applying quantitative methods to high-impact problems. I earned my BSc in Applied Mathematics from the University of North Carolina Wilmington and am currently completing an MSc in Applied Artificial Intelligence at the University of Warwick.

I'm passionate about continuous learning and sharpening my existing toolset to stay ahead in a rapidly evolving AI field. My work sits at the intersection of rigorous research and real-world application. My background in mathematical modeling and applied analysis has equipped me to tackle complex problems with precision, while my industry experience has proven my ability to turn technical skill into practical results. My most recent work was with companies on corrosion risk in natural gas pipelines spanning Europe and on bioremediation optimization for industrial pollutants.

I'm especially drawn to work involving prediction, risk, optimization, and complex systems, and I'm motivated by opportunities to apply my background across sectors such as technology, finance, energy, engineering, and health, where strong quantitative thinking can produce meaningful results.