Welcome!

My name is Shuaicheng (Allen) Tong. I am a second-year PhD student in Machine Learning 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 lies at the intersection of Machine Learning and Optimization, with a focus on accelerating decision-making under uncertainty for large-scale power system operations. I am especially interested in:

  • ML proxy methods that accelerate optimization while preserving solution quality, feasibility, and interpretability.
  • Combinatorial and mixed-integer optimization heuristics with numerical stability and feasibility guarantees under hard constraints.
  • Physics-aware optimization for energy systems, including voltage control and Volt/VAR optimization for operational planning.

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.

Publications

Download my CV here.