Assistant Professor (August 2020 – Present)
Assistant Director of the Center for Applied Optimization
Ph.D. in Operations Research, Georgia Tech, 2020
B.S. in Applied Mathematics, Peking University, 2016

My research focuses on advancing Mathematical Optimization to solve critical operational challenges in sustainable energy systems, supply chain management, and logistics—key areas of interest to businesses striving for operational efficiency and sustainability. By combining combinatorial optimization, machine learning (ML), and large-scale optimization theory, I develop innovative solutions that provide actionable insights for organizations facing complex, real-world problems, such as battery supply chains, drone-based delivery systems, and inland wind farm design. My work on novel formulations and ML-driven strategies for branching, variable reduction, and decomposition has led to breakthroughs in solving these problems optimally, as exemplified by RouteOpt, our open-source tool achieving state-of-the-art performance for optimizing vehicle routes exactly.  I also develop new zeroth- and first-order algorithms with provable convergence rates tailored to handle large-scale, high-dimensional problems arising in modern AI/ML applications and business data analytics. These efforts directly support data-driven decision-making, enhancing operational efficiency and strategic decision-making for businesses.