Haoyu Wang

Haoyu Wang joined Argonne National Laboratory in 2017 after receiving his PhD degree from Purdue University.

His research projects include:

• Machine Learning analysis of commercial reactor operational data
• Predictive modeling of BWR performance for cycle planning optimization
• Dynamic modeling of nuclear plant auxiliary systems
• Data-driven control of power systems
• Reduced order model development for supervisory control 
• Monte-Carlo simulation for radiation transport

Education:

• Ph.D., Nuclear Physics, Purdue University, 2017
• B.S., Applied Physics, University of Science and Technology of China, 2011