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Xian Li, Ph.D., CFA has diverse work experience in the field of quantitative analysis and research. From 2019 to the present, Xian has been working at Loomis, Sayles & Company as a Quantitative Analyst, where they have been responsible for analyzing and interpreting complex financial data. Prior to that, from 2013 to 2019, Xian worked at the Massachusetts Institute of Technology (MIT), holding various roles including Research Assistant and Teaching Assistant. During their time at MIT, Xian gained experience in research and teaching, with a focus on thermodynamics and kinetics. Xian's strong academic background and expertise in quantitative analysis make them a valuable asset in the financial industry.

Xian Li, Ph.D., CFA has a strong educational background in both physical chemistry and electronic science and technology. Xian began their academic journey at Tianjin University, where they obtained a Bachelor's degree in Electronic Science and Technology from 2009 to 2013. Following this, Xian pursued further scholarly pursuits at the Massachusetts Institute of Technology (MIT), where they completed a Doctor of Philosophy (Ph.D.) in Physical Chemistry from 2013 to 2019.

In addition to their formal education, Xian Li has also obtained various certifications to enhance their knowledge and skills. They have achieved the Chartered Financial Analyst (CFA) Charterholder designation from the CFA Institute in July 2022. Furthermore, Xian has pursued online courses to expand their expertise, obtaining certifications in "Modern Big Data Analysis with SQL" from Coursera in April 2020, "Algorithms Specialization" in June 2019, "Machine Learning" in August 2018, and "Practical Time Series Analysis" in August 2018, all from Coursera. These certifications demonstrate Xian's commitment to continuous learning and staying abreast of advancements in their field.