Associate Professor of Marketing
Associate Professor in Industrial Engineering and Decision Analytics
Hong Kong University of Science and Technology (HKUST)
Lee Heng Fellow
Research Fellow, Cambridge Centre for Chinese Management
Faculty Associate, HKUST Li & Fung Supply Chain Institute
NSFC Excellent Young Scientist
Marketing Science Institute (MSI) Young Scholar
Jia Liu is Associate Professor of Marketing and affiliated Associate Professor in the Department of Industrial Engineering and Decision Analytics (IEDA) at the Hong Kong University of Science and Technology (HKUST). She is also a Research Fellow at the Cambridge Centre for Chinese Management, a Lee Heng Fellow, a recipient of the Excellent Young Scientist Fund from the National Natural Science Foundation of China (NSFC), and a Marketing Science Institute (MSI) Young Scholar. She serves on the editorial boards of the Journal of Marketing Research, Marketing Science, and Journal of Consumer Research.
Professor Liu is an expert in AI and big data analytics, with research at the intersection of marketing intelligence, generative search optimization, and supply chain intelligence. Her work develops cutting-edge methods in machine learning, causal inference, structural modeling, and (multimodal) agentic AI to help organizations measure complex market signals, understand consumer and firm behavior, and make better strategic decisions in rapidly changing digital environments. Across these research streams, she studies how firms can turn large-scale unstructured and structured data into actionable intelligence for brand building, platform strategy, search visibility, demand forecasting, and global supply chain adaptation.
Her research has been published in premier journals including Marketing Science, Management Science, Journal of Marketing Research, and Journal of Marketing, and has received major recognitions such as the John Little Award, a nomination for the Frank M. Bass Outstanding Paper Award, and multiple best paper awards at leading international conferences. She has led and contributed to major competitive research projects funded by the NSFC and the Hong Kong Research Grants Council, securing over HK$10 million in competitive research funding.
Beyond academia, Professor Liu has held research positions at Meta and Microsoft Research, and currently serves as a business advisor to the International Digital Economy Academy at Shenzhen, actively promoting the integration of academic research and industry applications. She works closely with global companies and public-sector partners to design AI-enabled decision tools and data-driven strategies, helping businesses achieve competitive advantages in the digital and intelligent era.
Professor Liu holds a Ph.D. in Marketing from Columbia University, an M.S. in Statistics from Michigan State University, and a B.S. in Mathematics from Tianjin University.
刘佳现任香港科技大学（HKUST）市场营销学副教授，并兼任工业工程与决策分析系（IEDA）副教授。她同时担任剑桥大学中国管理研究中心研究员、利恒学者，获国家自然科学基金优秀青年科学基金资助，并入选美国营销科学研究院（MSI）青年学者。她现任《Journal of Marketing Research》《Marketing Science》和《Journal of Consumer Research》三本国际顶尖期刊的编委。
刘教授是人工智能与大数据分析领域的专家，其研究聚焦于营销智能、生成式搜索优化以及供应链智能的交叉领域。她致力于开发前沿的方法，包括机器学习、因果推断、结构建模以及（多模态）智能体人工智能，以帮助组织衡量复杂的市场信号、理解消费者与企业行为，并在快速变化的数字环境中做出更优的战略决策。围绕这些研究方向，她重点探讨企业如何将大规模非结构化与结构化数据转化为可执行的智能洞察，从而服务于品牌建设、平台战略、搜索可见性、需求预测以及全球供应链适应。
她的研究成果发表于 Marketing Science、Management Science、Journal of Marketing Research 和 Journal of Marketing 等顶级期刊，并获得多项重要学术荣誉，包括 John Little Award、Frank M. Bass Outstanding Paper Award 提名，以及多个国际顶级会议的最佳论文奖。她主持并参与多项由国家自然科学基金和香港研究资助局资助的高水平竞争性研究项目，累计获得数千万港币科研经费资助。
在学术界之外，刘教授曾在 Meta 和微软研究院担任研究职位，目前担任深圳国际数字经济研究院商业顾问，积极推动学术研究与产业应用的深度融合。她与全球企业及公共部门合作伙伴密切合作，设计由人工智能驱动的决策工具和数据驱动战略，帮助组织在数字化与智能化时代建立竞争优势。
刘教授拥有哥伦比亚大学市场营销博士学位、密歇根州立大学统计学硕士学位，以及天津大学数学学士学位。
