Sheng Yang
About Sheng Yang
Sheng Yang is a Quantitative Researcher currently employed at Two Sigma in New York. He has a strong academic background, holding a Ph.D. in Mechanical and Aerospace Engineering from Princeton University and has previously worked at institutions such as Stanford University and Peking University.
Work at Two Sigma
Sheng Yang has been employed as a Quantitative Researcher at Two Sigma since 2017. In this role, he applies advanced quantitative methods to develop and enhance trading strategies. His work involves analyzing large datasets and utilizing statistical models to inform investment decisions. Two Sigma is known for its data-driven approach to finance, and Yang's contributions support the firm's commitment to leveraging technology in the investment process.
Education and Expertise
Sheng Yang holds a Doctor of Philosophy (Ph.D.) in Mechanical and Aerospace Engineering from Princeton University, where he studied from 2011 to 2017. He also earned a Bachelor of Science (BS) in Theoretical and Applied Mechanics from Peking University, completing his degree from 2007 to 2011. His educational background provides a strong foundation in analytical and quantitative skills, essential for his current research role.
Background
Sheng Yang began his academic career at Peking University, where he worked as an Undergraduate Researcher from 2009 to 2011. He then transitioned to Princeton University, serving as a Graduate Researcher from 2011 to 2017. In addition to his academic roles, he founded and served as CEO of Robolution from 2015 to 2016, where he focused on innovative solutions in technology. He also had a brief tenure as a Visiting Research Scholar at Stanford University in 2010.
Achievements
Throughout his career, Sheng Yang has engaged in various research initiatives and projects that contribute to the fields of quantitative finance and engineering. His experience spans multiple prestigious institutions, where he has developed expertise in quantitative analysis and research methodologies. His role at Two Sigma highlights his commitment to applying academic research to practical financial applications.