Yield Engineer
PDF Solutions
Sunnyvale, CA, United States
Tzu-Hsuan Chen, M.S., Consulting Engineer, PDF Solutions
Tzu-Hsuan Chen is a Yield Engineer at PDF Solutions, where she helps semiconductor manufacturers apply advanced data analytics and AI/ML solutions to improve yield, reliability, and operational efficiency. With a background in semiconductor physics and data science, she bridges the gap between technology innovation and real-world manufacturing execution.
At PDF Solutions, Chen works with R&D teams, field engineers, and customers worldwide to ensure the successful deployment of PDF Solutions’ technologies. She evaluates process readiness, identifies yield-limiting factors, and turns complex data into actionable insights that accelerate problem resolution. Her collaborative approach ensures deployments stay on schedule and aligned with customer priorities.
Chen also serves as a trusted customer interface, providing end-to-end technical support throughout solution adoption. She develops customized dashboards, workflows, and visualizations tailored to customer requirements, while also diagnosing and resolving complex technical challenges. Leveraging her expertise in Python and programming languages, she builds AI/ML workflows that integrate directly with PDF Solutions’ analytics platform, driving data-driven strategies across operations.
At SEMICON West, Chen will present on advanced yield management in compound semiconductor manufacturing. Her session will highlight how integrated data and AI/ML models enable fabs to identify killer defects, balance underkill and overkill risks, and link material quality to final device performance. By combining semiconductor domain expertise with cutting-edge analytics, Chen exemplifies PDF Solutions’ mission to deliver smarter manufacturing for the semiconductor industry’s next generation.
Machine Learning Method for Yield Management and Prediction in Compound Semiconductor Manufacturing
Tuesday, October 7, 2025
2:25pm - 2:45pm MT