David Huang
Assistant Professor Of Marketing at NUS Business School
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolDavid Huang is an Assistant Professor of Marketing and quantitative researcher who applies machine learning and causal inference to real-world customer value problems, with nine years of experience spanning academia and industry. He studies how firms can personalize complex marketing choices, prioritize long-term customer success, and preserve privacy and fairness using methods like reinforcement learning, representation learning, and differential privacy. Before academia he led data science at Migo and consulted for Mastercard and Applied Predictive Technologies, delivering lifecycle analytics, experimentation platforms, and recommendation systems across APAC. His Harvard PhD in Quantitative Marketing and MSc in Statistics underpin a rare blend of rigorous methods and hands-on product delivery. Based in Singapore, he combines academic rigor with practical impact—designing privacy-aware personalization frameworks that are ready for deployment in regulated markets. Outside work he balances research with chess, coding, and a penchant for bad puns.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Business Administration (Quantitative Marketing), Doctor of Philosophy - PhD, Business Administration (Quantitative Marketing) at Harvard UniversityMaster of Science - MS, Statistics, Master of Science - MS, Statistics at 國立臺灣大學Bachelor of Science - BS, Quantitative Finance, Bachelor of Science - BS, Quantitative Finance at National Tsing Hua UniversityDoctor of Philosophy - PhD, Business Administration (Quantitative Marketing), Doctor of Philosophy - PhD, Business Administration (Quantitative Marketing) at 美國哈佛商學院
Chinese, English
Github Skills (1)
redux1
Programming languages (1)
Github contributions (5)
nopawnintended/portfolio
Oct 2017 - Nov 2017
Contributions:23 commits, 20 pushes, 2 branches in 28 days
nopawnintended/vigilant-octo-chainsaw
Jun 2017 - Jul 2017
Contributions:4 pushes, 1 branch in 3 days
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