Sihan Huang
About Sihan Huang
Sihan Huang is a Quantitative Researcher at Squarepoint Capital in New York, specializing in quantitative analysis and research in finance. He holds a PhD in Statistics from Columbia University and has a background in statistics and economics from Peking University.
Work at Squarepoint Capital
Sihan Huang has been employed at Squarepoint Capital as a Quantitative Researcher since 2020. In this role, he is involved in developing quantitative models and strategies to enhance trading performance. His work contributes to the firm's focus on leveraging data-driven insights in financial markets. Squarepoint Capital, based in New York, is known for its systematic trading and investment strategies.
Education and Expertise
Sihan Huang holds a Doctor of Philosophy (PhD) in Statistics from Columbia University, where he studied from 2015 to 2020. He also earned a Bachelor's degree in Statistics and Economics from Peking University, completing his studies from 2011 to 2015. Additionally, he participated in an exchange program at the University of California, Los Angeles in 2013. His academic background equips him with a strong foundation in statistical analysis and economic theory.
Background
Sihan Huang has a diverse professional background in quantitative finance and data analysis. He began his career as a Data Analyst at Microsoft in 2014, followed by various internships and associate positions at notable financial institutions. He served as a Summer Analyst at Morgan Stanley in 2015, a Summer Associate at Barclays in 2018, and a Summer Intern at Cubist Systematic Strategies in 2019. These experiences have contributed to his expertise in quantitative research.
Research Interests and Contributions
Sihan Huang's research interests encompass natural language processing, deep learning, trading strategies, and economics. He has conducted significant research on the theoretical properties and applications of network models and machine learning methods. Additionally, he authored SAT Math Test Prep Materials published by New Oriental, showcasing his ability to communicate complex concepts effectively.
Achievements and Scholarships
Sihan Huang has received several accolades throughout his academic and professional journey. He was awarded the China National Scholarship, recognizing his academic excellence. Furthermore, he is a recipient of the Young Scholar Fellowship awarded by MSRA and IEEE, which highlights his contributions to research and innovation in the field of statistics and machine learning.