Nan H.
About Nan H.
Nan H. is a Quantitative Researcher with a strong background in statistics and mathematics, holding a PhD from Stony Brook University. Currently employed at Two Sigma, Nan specializes in large-scale machine learning and high-dimensional statistics.
Work at Two Sigma
Nan H. has been employed at Two Sigma as a Quantitative Researcher since 2023. In this role, Nan focuses on applying quantitative methods to enhance decision-making processes and develop innovative solutions within the financial technology sector. The position involves leveraging advanced statistical techniques and machine learning methodologies to analyze complex datasets.
Education and Expertise
Nan H. holds a Bachelor of Applied Science (BASc) in Statistics and Mathematics from the University of Science and Technology of China, where studies were conducted from 2010 to 2014. Following this, Nan earned a Doctor of Philosophy (PhD) in Applied Mathematics and Statistics from Stony Brook University, completing the program from 2014 to 2018. This educational background provides a strong foundation in quantitative analysis and statistical modeling.
Background
Nan H. has a diverse professional background in quantitative research and analysis. Prior to joining Two Sigma, Nan worked at Bloomberg LP as a Quant from 2020 to 2023 in New York, New York. Additionally, Nan served as Assistant Director - Research at Moody's Analytics from 2018 to 2020. Earlier experience includes a summer internship at QTG Capital Management in 2017.
Research Focus
Nan H. specializes in large-scale machine learning, high-dimensional statistics, and nonparametric statistics. The research interests include developing computationally efficient procedures to address high-dimensional computational challenges in machine learning. This focus aligns with current trends in data science and quantitative finance, emphasizing the importance of robust statistical methods in analyzing complex data.