Robert S. Chen
About Robert S. Chen
Robert S. Chen is a Quantitative Researcher with extensive experience in data science and quantitative analysis, currently working at Two Sigma and Family Empowerment Media. He has a strong academic background from Harvard University and has held various research and internship positions in notable organizations.
Current Role at Two Sigma
Robert S. Chen serves as a Quantitative Researcher at Two Sigma, a role he has held since 2017. In this position, he applies advanced data science techniques to address challenges within financial markets. His work focuses on leveraging quantitative methods to enhance decision-making processes and optimize strategies in a competitive financial landscape.
Experience at Family Empowerment Media
Since 2021, Robert has been working as a Data Scientist at Family Empowerment Media. In this role, he utilizes his data science skills to support the organization's mission, focusing on the application of machine learning and data analysis to drive impactful outcomes. His contributions aim to enhance the effectiveness of media initiatives in empowering communities.
Educational Background at Harvard University
Robert studied at Harvard University, where he earned a Combined Four-Year Bachelor's and Master's Degree in Statistics and Applied Mathematics, graduating Summa Cum Laude. His academic background provided him with a strong foundation in quantitative analysis and research methodologies, which he has applied throughout his career.
Previous Work Experience
Prior to his current roles, Robert gained extensive experience in various research and data science positions. He worked as a Data Scientist at Data 2 the People for eight months in 2020, and held internships at Ellington Management Group, Yelp, and IMC Trading. His early research experience includes positions at Harvard's School of Engineering and Applied Sciences and the T.H. Chan School of Public Health, where he focused on mathematical modeling and deep learning.
Research Interests and Expertise
Robert has a strong interest in applying machine learning and data science to global development challenges. His research intersects with economics, politics, artificial intelligence, and societal issues. He possesses expertise in utilizing advanced data science techniques to tackle complex problems in financial markets, contributing to innovative solutions in the field.