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Lu Meng-Jou joined RMI on 3 December 2018 as a Research Fellow. Meng-Jou Lu acquired her doctoral degree from the Institute of Finance in 2017 from Taiwan’s National Chiao Tung University (NCTU). She has been a Research Assistant at Ladislaus von Bortkiewicz Chair of Statistics, Humboldt-Universität zu Berlin from 2015 to 2016. Additionally, she has experience working on interdisciplinary research at APEC Research Center for Typhoon and Society at Taiwan Typhoon and Flood Research Institute (TTFRI) since she graduated from NCTU. She is interested in applying quantitative model to financial data especially in market and credit risk. And she also has experience implementing the market and credit risk models by using techniques such as copulae, EGARCH, Nelson-Siegel and CPV model on empirical data. Duan Junxu joined RMI as a Research Analyst on 26 November 2018. Junxu graduated from University of Liverpool and NUS, majoring in Information Systems. He is proficient in data analysis, R, and SQL. In his free time, he likes playing football and guitar. He Mengqi joined RMI as a Research Analyst on 21 January 2019. Mengqi has a Master’s Degree of IT in Business from Singapore Management University. She was an intern at DBS Bank working on UAT testing for five months. She has experience in Python, R, MySQL, Tableau, and data visualization. Her hobbies include badminton and hiking. Xiong Tiankai joined RMI as a Research Analyst on 14 January 2019. Tiankai has a Bachelor of Science in Physics from NUS. He is about to finish his Double Degree Programme in Master of Science from NUS and Master of Engineering from École Centrale Paris. Apart from physics, he has also developed programming skills through the projects he has worked on. Zou Yun joined RMI on 3 January 2019 as a Research Analyst. Zou Yun has just graduated from the RMI’s Master of Science (Financial Engineering) Program. In 2017, she has earned her bachelor degree of Finance from Sun Yat-sen University, China. She was previously an intern with the CRI team for six months and has gained better understanding of database and credit risk analysis.
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