Pan Han is currently an AVP, Quantitative Analyst at Citi, where they develop and implement counterparty risk models using their expertise in Python, R, and data analysis. They earned a PhD in Mechanical and Aerospace Engineering from the University of Virginia, where they also served as a research and teaching assistant. Prior to joining Citi in November 2022, Pan worked at Bank of China as an Associate and Application Developer, focusing on database management and data visualization. Their research experience includes computational fluid dynamics and bio-inspired robotics, culminating in multiple publications and a research award. Pan is dedicated to solving complex problems and optimizing systems.
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