David Huang
Summary
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SeniorDavid 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.
8 years of coding experience
Github Skills (2)
redux1
react1
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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