Jia Liu
Associate Professor Of Marketing
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolJia Liu is an Associate Professor of Marketing and affiliated Associate Professor in Industrial Engineering & Decision Analytics at HKUST, combining a decade of academic experience with industry collaborations at Microsoft and Facebook to advance quantitative marketing. She develops statistical, econometric, and machine learning methods that turn large, messy data into actionable insights for pricing, advertising, recommender systems, and consumer search. Her work spans both theory and practice, evaluating marketing policies for brands across retail, telecom, automotive, e-commerce, and advertising agencies. Trained in mathematics, statistics, and marketing (Tianjin University, Michigan State, Columbia Business School), she brings rigorous quantitative foundations to behavioral and AI-driven marketing problems. An uncommon strength is her track record moving between Microsoft research labs and commercial partners, which sharpens her methods for real-world deployment.
10 years of coding experience
7 years of employment as a software developer
Ph.D., Marketing, Ph.D., Marketing at Columbia University - Columbia Business SchoolB.S., Mathematics, B.S., Mathematics at Tianjin UniversityM.S., Statistics, M.S., Statistics at Michigan State University
Github Skills (12)
robotics10
dialog10
simulator10
3d9
reinforcement-learning9
ai9
computer-vision9
multimodal8
pytorch8
deep-learning7
algorithm5
monte-carlo-tree-search4
Programming languages (2)
Github contributions (5)
jia-git/LaMCTS
Feb 2021 - Feb 2023
The release codes of LA-MCTS with its application to Neural Architecture Search.
Contributions:2 PRs, 8 pushes in 2 years
deep-learningneural-architecture-searchmachine-learningneural-architecturearchitecture
facebookresearch/LA-MCTS
Dec 2021 - Jan 2022
High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
Contributions:6 commits, 5 pushes, 3 branches in 21 days
monte-carlo-tree-search
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