Haoyu Wang is a Principal Nuclear Engineer at Argonne National Laboratory. He received his PhD in nuclear physics from Purdue University in 2017 and his BS in applied physics from University of Science and Technology of China in 2011. His research interests 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, and Monte-Carlo simulation for radiation transport.