Luman Qu has a diverse background in engineering and research, with experience spanning various prestigious organizations. As a Consultant Engineer at Oxford Instruments, Luman provided equipment consultancy in China, focusing on instruments from the NanoScience Division. At Lawrence Livermore National Laboratory, Luman developed a Cython/Java program utilizing a kinetic Monte-Carlo algorithm to simulate electron transport in nanoparticle materials, contributing to the understanding of Metal-Insulator transitions. Luman interned as a Software Engineer at Google, creating the Bad CL Detector application for identifying issues in Chromium OS, before assuming a Software Engineer role in Android Infrastructure at Google. Academic credentials include an M.Sci. and B.A. in Natural Sciences from the University of Cambridge, followed by a PhD in Physics from the University of California, Davis.