AI for science & innovation科学与创新人工智能
Computational and AI methods for understanding and supporting discovery, evaluation, and innovation.用计算与人工智能方法理解并支持科学发现、评价和创新。

Social Computing · Network Research社会计算 · 网络研究
I develop computational methods to understand how language and social structures shape scientific innovation.我致力于开发计算方法,理解语言与社会结构如何塑造科学创新。
Assistant Professor · Society Hub · HKUST (Guangzhou)
Innovation, Entrepreneurship and Public Policy
香港科技大学(广州)社会枢纽助理教授
创新创业与政策学域
Huilian Sophie Qiu is an Assistant Professor in the Innovation, Entrepreneurship and Public Policy Thrust of the Society Hub at the Hong Kong University of Science and Technology (Guangzhou). She previously served as a Junior Group Leader in the Department of Computer Science at the University of Göttingen and as an Assistant Professor in the Department of Computer Science at Northwestern University. Her research spans natural language processing, computational social science, and software engineering. She received her Ph.D. in Computational Sociology from Carnegie Mellon University and studied at Princeton University and Brown University for her master’s and undergraduate degrees, respectively, across the fields of computer science and East Asian studies. Grounded in empirical data, her research investigates how scientific language shapes research funding, open-source collaboration, and technological innovation. Her work has appeared in leading international journals including PNAS and JAMA Network Open. She has received an ICSE Distinguished Paper Award and a Journal of Social Computing Outstanding Reviewer Award.
邱慧莲(Huilian Sophie Qiu),香港科技大学(广州)社会枢纽创新创业与政策学域助理教授,曾担任哥廷根大学计算机系初级团队领导、西北大学计算机系助理教授。研究方向涵盖自然语言处理、计算社会科学与软件工程。她于卡内基梅隆大学获得计算社会学博士学位,硕士与本科阶段分别就读于普林斯顿大学与布朗大学,横跨计算机科学与东亚研究领域。她的研究以实证数据为基础,聚焦科学语言如何影响科研资助、开源协作与技术创新,其成果发表于 PNAS、JAMA Network Open 等国际顶级期刊,曾获 ICSE 会议杰出论文奖、Journal of Social Computing 杰出审稿人奖。
I study science as both a system of ideas and a system of people.我把科学同时视为思想系统与人的协作系统。
Computational and AI methods for understanding and supporting discovery, evaluation, and innovation.用计算与人工智能方法理解并支持科学发现、评价和创新。
How language influences research funding, peer review, and the adoption of innovative ideas.研究语言如何影响科研资助、同行评议与创新思想的采纳。
Collaboration, participation, social capital, and community health in software ecosystems.研究软件生态中的协作、参与、社会资本与社区健康。
NLP, network analysis, machine learning, and statistical methods for large-scale behavioral data.运用自然语言处理、网络分析、机器学习与统计方法分析大规模行为数据。
Recent studies on language, innovation, and collaborative communities.近期关于语言、创新与协作社区的研究。
How rhetorical framing in biomedical grants relates to funding outcomes.
Evidence that language shapes whether novel ideas are recognized and adopted.
A tool for making community dynamics visible and actionable.
I welcome curious, independent researchers who want to use computational methods to study science, innovation, online communities, and human-centered AI.欢迎对使用计算方法研究科学、创新、在线社区和以人为本的人工智能感兴趣,且好奇、独立的研究者申请。
NLP and large language models · computational social science · open-source communities · network analysis · large-scale behavioral data
Intellectual curiosity, independence, persistence, strong English proficiency, and a willingness to learn and think beyond AI-generated answers.
Please read several recent papers and include a concise description of your interests, the specific connection to my work, and your CV.