Yao Tung Huang (Don HUANG) is a researcher and entrepreneur working at the intersection of financial mathematics, stochastic control, and AI-driven wealth management. He holds a PhD in Mathematics from HKUST, where his doctoral research addressed stochastic optimal control problems in retirement product design and derivatives pricing. He later held postdoctoral and visiting research appointments at City University of Hong Kong and Imperial College London.
In 2015, he co-founded AQUMON (Magnum Research Limited), where he serves as Chief Scientist. His work spans the full research-to-production pipeline: mathematical modelling, portfolio optimisation, machine learning methodology, system architecture, and the deployment of institutional AI investment systems across the Asia-Pacific region.
His publications appear in SIAM Journal on Financial Mathematics, Quantitative Finance, and Journal of Economic Dynamics and Control. His current interests include data-driven portfolio construction, reinforcement learning for asset allocation, financial NLP, and LLM-enabled investment advisory.
PhD Mathematics · 2014
The Hong Kong University of Science and Technology (HKUST)
MSc Mathematics (Financial Mathematics and Statistics) · 2008
The Hong Kong University of Science and Technology (HKUST)
BEng Computer Science and Information Systems · 2004
Huazhong University of Science and Technology