Hong Wang received her B.S. degree in Physics from Nankai University, Tianjin, China in 2015. She is now pursuing a Ph.D degree in applied mathematics in Stony Brook University, New York, USA. Her research interest focuses on high-performance computing (HPC) and its application on quantitative finance, especially the simulation and prediction of market dynamics such as stock price and foreign exchange rate by some deep learning methods. In Nankai University, Hong was selected into Poling Class, which is established for outstanding and promising students. During her undergraduate program, she participated in China’s National Undergraduate Innovation Experiment Project, leading a project on simulation of normal electromagnetic properties on metamaterials, which is useful in designing nano-scale optical devices. Hong has interned at the University of California at Irvine and the Institute of Physics, Chinese Academy of Sciences, Beijing, China. After graduation, she interned at the National Supercomputer Center in Jinan, Shandong, China during the summers of 2016 and 2017.