Hairong Wang

Greetings!

I am an incoming assistant professor in the Operations Research & Industrial Engineering program at the University of Texas at Austin. I received my PhD in Operations Research from the School of Industrial and Systems Engineering at Georgia Tech, where I am fortunately advised by Prof. Jing Li. Prior to joining Georgia Tech, I received my BA in Mathematics from University of Oxford.

My research focuses on developing knowledge-informed, data-efficient machine learning models and algorithms, and pursuing their practical applications in addressing pressing, high-stake clinical challenges. Specifically, my work develops and leverages tools from machine learning (ML), generative artificial intelligence (AI), large-scale optimization, and high-dimensional statistics to:

• Develop data-driven methodologies for building and training machine learning models with data and computational efficiency, interpretability, generalizability, and robustness.

• Propose principled approaches to fuse domain knowledge into model design for assisting clinical diagnosis/optimal treatment in high-stake scenarios (e.g., brain cancer, liver cancer, Alzheimer’s Disease, etc.).

⭐ We are actively looking for motivated PhD students to join our research group! If you have a background in computer science, mathematics, engineering, or related fields, and enjoy solving real-world problems, you are welcome to apply. For more information, please check the ORIE PhD program at UT.

⭐ Visiting students and summer interns are also welcome to join the group!