‘’About Me
Niyuan (Neo) Huang is a master’s student in economics at Columbia University with plans to pursue a PhD in the future. His academic interests are still evolving, and he is actively exploring topics across macroeconomic theory, financial networks, and the use of machine learning in economics. With prior experience in both theoretical modeling and empirical analysis, he is committed to building a solid research foundation through collaboration, curiosity, and continuous learning.
- Economics
- Finance
MA Economics
Graduate School of Arts and Sciences, Columbia University
BS Finance (minor in Artificial Intelligence)
School of Economics, Zhejiang University
As a master’s student actively preparing for PhD applications, I am currently exploring and refining my academic interests.
During both my undergraduate and graduate studies, I have participated in various research projects under the guidance of professors, exploring topics such as rational inattention, network analysis, ESG, and innovation. These experiences have given me exposure to a broad range of ideas in economics and finance.
I have also pursued small independent projects—for instance, using XGBoost to fit a multifactor model for performance enhancement, which was the final project in my quantitative investing course.
While I am still in the process of narrowing down my specific research field, I have built a solid foundation in both qualitative and quantitative methods, particularly in economics and finance.
If you’re interested in what I do, I would be excited to collaborate! 😃