Photovoltaic devices are important for the renewable clean energy system. Today, silicon-based solar modules keep dominating the market, but various emerging techniques based on thin-film inorganic semiconductors are rapidly developing. Among thin-film technologies, chalcopyrite Cu(In, Ga)Se2 (CIGS) shows excellent light conversion efficiency. As a graduate student in Dr. Scott Dunham’s lab in the department of electrical & computer engineering, Xiaofeng is developing predictive models for the design and optimization of CIGS solar cell fabrication and device operation processes. These predictive models will help engineers and scientists design the material structure of solar cells to optimize performance. Xiaofeng was selected to be a 2021 Clean Energy Institute Graduate Fellow. He holds a B.S. in Chemistry from Nankai University, China.