Personal information

Machine Learning, Mathematics, Quantitative Finance

Biography

I am currently a PhD candidate in Mathematics at the National University of Singapore, graduating in mid-2024. My research is sponsored by the SINGA Scholarship and focuses on machine learning applications within quantitative finance. In 2020, I graduated from the London School of Economics with a BSc in Mathematics and Economics with First Class Honours.

Activities

Education and qualifications (2)

National University of Singapore: Singapore, SG

PhD (Mathematics)
Education
Source: Self-asserted source
Siu Hin Tang

London School of Economics and Political Science: London, GB

BSc Mathematics and Economics (Mathematics)
Education
Source: Self-asserted source
Siu Hin Tang

Works (2)

Market-Making and Hedging with Market Impact using Deep Reinforcement Learning

2024-11-14 | Conference paper
Contributors: Jiayu Shi; Siu Hin Tang; Chao Zhou
Source: check_circle
Crossref

Forecasting Volatility with Machine Learning and Rough Volatility: Example from the Crypto-Winter

Digital Finance
2023-11-02 | Journal article
Contributors: Siu Hin Tang; Mathieu Rosenbaum; Chao Zhou; Siu Hin Tang
Source: Self-asserted source
Siu Hin Tang