Xiaochuan Li
About Xiaochuan Li
Xiaochuan Li is a developer at MassMutual in Springfield, Massachusetts, with a background in technical support, research, and network administration.
Current Position at MassMutual
Xiaochuan Li is currently employed as a Developer at MassMutual in the Springfield, Massachusetts Area. Since joining the company in February 2016, Li has contributed to several projects related to APL models and the re-pricing of Traditional Life products. His work includes maintaining and enhancing the mainframe-based Actuarial Rates & Values system, which is integral for calculating unit dividends for participating Traditional Life products.
Previous Positions and Experience
Xiaochuan Li has accumulated a diverse range of experience in the technology and research sectors. Before his current role, Li worked at Massachusetts General Hospital as a Technical Support Specialist from 2015 to 2016. He also served as a Senior Research Associate at the Boston University School of Medicine for seven years, from 2007 to 2014. Prior to that, Li was a Research Fellow at Harvard University from 2005 to 2007 and a Network Administrator at Mci Worlcom - Skytel from 1999 to 2002.
Educational Background
Xiaochuan Li holds a diverse and accomplished academic background. He earned a Doctor of Philosophy (PhD) in Computational Science from The University of Southern Mississippi, which he attended from 2003 to 2005. In addition, he holds a Master's degree in Chemistry from Baylor University, where he studied from 1996 to 1998. Li also obtained a Master's degree in Computational Chemistry from Sichuan University.
Technical Skills and Contributions
Xiaochuan Li has demonstrated significant technical skills throughout his career. He has converted actuarial dividend models from Fortran to C, showcasing his expertise in multiple programming languages. Additionally, Li developed a Java GUI application by converting an Excel module, demonstrating his proficiency in Java and user interface design. His ability to independently research and analyze data anomalies underscores his strong analytical and problem-solving capabilities.