Assistant Professor

The petitioner proposes to design models and systems that enable producers, carriers, drivers, and users of transportation services to cooperate in collaborative, data-driven settings. This work focuses on optimizing synergistic interactions to establish value chains and improve the global food supply chain while reducing traffic congestion.

The petitioner proposes to continue research on developing efficient algorithms and applications for determining material structures and sample dynamics. This work focuses on deciphering complex experimental data to facilitate deeper explorations in biotechnology and materials science while supporting sustainable energy solutions.

The petitioner proposes to advance modeling techniques that blend machine learning with statistical analysis to strengthen predictive analytics and improve decision-making across manufacturing, logistics, and healthcare. Her work focuses on developing scalable approaches that can handle complex, data-rich environments to achieve higher efficiency and reliable system performance. The endeavor aims to provide incremental gains that translate into large economic and public benefits for U.S. infrastructure.

The petitioner proposes to continue research on advancing theoretical knowledge and mathematical models underpinning machine learning and AI. This work aims to facilitate the development of next-generation AI products and technologies to stimulate global economic growth and enhance healthcare systems.