Dr. Sarah Lynn Chen
Research Fellow, PLIANT INSTITUTE
Dr. Sarah Lynn Chen is a Research Fellow at the PLIANT Institute, where she leads development of the Atlas Intelligence Database — an ongoing effort to map nation-state interference, information asymmetry, and structural vulnerabilities across global logistics infrastructure.
Her research sits at the intersection of predictive disruption modeling and open-source intelligence, with a particular focus on Asia-Pacific maritime and terminal networks.
At PLIANT, Dr. Chen's work spans port and terminal vulnerability assessment, cross-border logistics risk, and the policy frameworks governing intelligence sharing between public and private sector partners. She brings a data-driven approach to translating technical logistics risk into actionable security recommendations for government and industry stakeholders.
Dr. Chen holds a PhD in Systems Engineering from Nanyang Technological University, Singapore, an MSc in Operations and Supply Chain Management from City University of Hong Kong, and a BSc in Economics and International Trade from the London School of Economics. She is fluent in English and Mandarin, with deep regional expertise in Asia-Pacific trade corridors.
Contact
Academic inquiries related to Dr. Chen's research can be directed via the main PLIANT communication channels.
Email: s.l.chen@projectpliant.com
Professional Profiles: https://www.linkedin.com/in/sarah-chen-839407407
Research Areas
Dr. Chen's research program is defined by a commitment to enhancing the security and resilience of global infrastructure through rigorous technical analysis and interdisciplinary inquiry.
Supply Chain Vulnerability Assessment
Open-Source Intelligence
Predictive Threat Modeling
Logistics Network Security
Cross-Border Risk Analysis
Publications
A select list of peer-reviewed articles, technical briefs, and forthcoming research papers contributing to the field of supply chain security and logistics intelligence.
Node Fragility in Asia-Pacific Logistics Corridors: Structural Vulnerabilities and Cascading Risk (Forthcoming)