Junze (Tony) Ye

PhD Student, Operations, Information & Technology
PhD Program Office Graduate School of Business Stanford University 655 Knight Way Stanford, CA 94305

Junze (Tony) Ye

Hi there! I am a first-year Ph.D. studying Operations Research at Stanford. Before my Ph.D., I graduated with High Honors from Princeton University in 2023, where I majored in Operations Research (ORFE) and minored in Computer Science. Advised by Professor Jason Klusowski, my undergraduate thesis paper proposed a framework that leverages decision trees to conduct knowledge distillation from feedforward neural networks, which won the Admiral W. Mack Angus Thesis Prize. I also conducted mathematical optimization research in the drug manufacturing division of Merck & Co., where I utilized Mixed-Integer Programming (MIP) to solve problems in vaccine production and inventory control.

I am broadly interested in the applications and engineering of modern ML methods to automate business operations and increase productivity scalably. Besides the tech itself, I actively think about the alignment of data science technologies with commercialization goals. On a more theoretical level, I am fascinated by the development of novel neural network architectures like diffusion models that are inspired by physics and biological phenomena. Always feel free to reach out to me if you are interested in discussing any of these topics or potential collaboration.

Research Interests

  • Machine Learning
  • Bayesian Statistics
  • Fashion and E-Commerce