Yu Lu
About Yu Lu
Yu Lu is a Vice President and Quantitative Researcher at Two Sigma, where he has worked since 2017. He holds a PhD in Statistics from Yale University and has experience in both finance and sports analytics.
Work at Two Sigma
Yu Lu has been serving as Vice President and Quantitative Researcher at Two Sigma since 2017. In this role, he applies advanced quantitative methods to develop strategies and models that support the firm's investment decisions. His expertise in quantitative research contributes to Two Sigma's reputation as a leader in the financial technology sector. The Greater New York City Area serves as the base for his work, where he collaborates with a team of professionals focused on leveraging data-driven insights.
Education and Expertise
Yu Lu holds a Doctor of Philosophy (PhD) in Statistics from Yale University, where he studied from 2013 to 2017. Prior to that, he earned two Bachelor's degrees from Peking University: a Bachelor of Science (BS) in Mathematics and a Bachelor of Arts (B.A.) in Economics, both completed between 2009 and 2013. His educational background provides a strong foundation in quantitative analysis and statistical methods, which he applies in his current research and analysis roles.
Background
Before joining Two Sigma, Yu Lu gained diverse experience in quantitative research and analysis. He worked as a Research Intern at Microsoft in 2015 for three months in the Greater Seattle Area, where he contributed to research projects. Additionally, he served as a Quantitative Trading Intern at Tower Research Capital for two months in 2016 in the Greater New York City Area. His early career also includes a brief role as a Basketball Analyst for the Charlotte Hornets in 2014, where he provided analytical insights into basketball performance.
Research and Publications
Yu Lu has a Google Scholar profile that indicates his involvement in academic research and publications. This profile highlights his contributions to the field of statistics and quantitative research, showcasing his commitment to advancing knowledge in these areas. His academic work complements his professional experience, allowing him to integrate theoretical insights with practical applications in finance and analytics.