Luyang Chen
About Luyang Chen
Luyang Chen serves as Vice President and Quantitative Researcher at Two Sigma, where he has worked since 2022. He holds a PhD in Computational and Mathematical Engineering from Stanford University, where he also completed his Master's degree and held various research and teaching positions.
Work at Two Sigma
Luyang Chen has been serving as Vice President and Quantitative Researcher at Two Sigma since 2022. Prior to this role, Chen worked as a Quantitative Researcher at Two Sigma from 2019 to 2022. This experience in quantitative research has contributed to the firm's data-driven investment strategies. Chen's tenure at Two Sigma spans over four years, during which he has been involved in various projects that leverage advanced mathematical and computational techniques.
Education and Expertise
Luyang Chen earned a Doctor of Philosophy (PhD) in Computational and Mathematical Engineering from Stanford University, completing the program from 2014 to 2019. Additionally, he obtained a Master of Science (MS) in the same field in 2018. Chen's academic background is complemented by a Bachelor of Science (B.S.) in Mathematics and Applied Mathematics from Fudan University, which he completed from 2010 to 2014. This educational foundation has equipped him with strong analytical and quantitative skills.
Background
Before joining Two Sigma, Luyang Chen gained valuable experience at Stanford University. He worked as a Research Assistant from 2018 to 2019, where he contributed to various research projects. Additionally, he served as an Academic Tutor and Course Assistant during his time at Stanford, from 2015 to 2018. These roles allowed him to develop a deep understanding of computational methods and enhance his teaching and mentoring abilities.
Internship Experience
Luyang Chen has completed several internships that have enriched his professional experience. He worked as a Deep Learning Intern at NVIDIA in 2017, where he focused on advanced machine learning techniques. In 2016, he interned as a Data Scientist at Walmart eCommerce, contributing to data analysis and modeling efforts. These internships provided him with practical skills in data science and machine learning applications.