Leveraging artificial intelligence and operations research to optimize urban mobility systems. The focus lies in designing scalable, data-driven mobility hubs that enhance accessibility, resilience, and efficiency in cities facing growing infrastructure challenges.

Advanced data analytics and optimization methods are applied to drive operational excellence across logistics, finance, and manufacturing. Emphasis is placed on solving high-impact problems through predictive modeling and data-informed strategies.

Combining machine learning with mathematical optimization to improve system performance and decision quality. These hybrid models address uncertainty, automate tuning processes, and accelerate real-time operational responses in dynamic environments.