Pengcheng Xie

Pengcheng Xie works for Lawrence Berkeley National Laboratory in Unites States as a postdoctoral scholar working with Prof. Stefan Wild, specializing in mathematical optimization and numerical analysis. He holds a PhD from Chinese Academy of Sciences advised by Prof. Ya-xiang Yuan. He has developed optimization methods, including 2D-MoSub and SUSD-TR. Pengcheng has published in major journals and presented at ISMP 2024 (upcoming), ICIAM 2023, and CSIAM 2022. He received the Hua Loo-keng scholarship in 2019 and the CAS-AMSS Presidential scholarship in 2023.