Welcome!

My name is Shuaicheng (Allen) Tong. I am a second-year PhD student at Georgia Tech ISyE advised by Prof. Pascal Van Hentenryck. I completed my B.S. in Mathematics of Computation at University of California, Los Angeles (UCLA) with a minor in Data Science Engineering. During my undergraduate studies, I worked with Prof. Samy Wu Fung on deep learning for image recovery.

My research interests lie at the intersection of Machine Learning and Optimization, with a focus on scalable methods for reliable power grid operations. I am especially interested in:

• Optimization for power systems, including voltage control and Volt/VAR optimization.
• Combinatorial and mixed-integer optimization for complex grid decision-making problems.
• Learning-based methods that accelerate optimization while preserving solution quality, feasibility, and interpretability.

Broadly, my goal is to combine the structural guarantees of mathematical optimization with the speed and scalability of machine learning to support faster, more reliable decision-making for modern electric grids.

Publications

• Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
  Proceedings of the 24th International Power Systems Computation Conference (PSCC 2026).

• Deep Learning-Driven Contextual Stochastic Optimization for Real-Time Order Fulfillment
  NeurIPS 2025 Workshop MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making.

• Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation
  SIAM Undergraduate Research Online.

Download my CV here.