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Chen Zhang
Principal Software Engineer at ASML
Chen Zhang is a Principal Software Engineer at ASML, a leading company in the semiconductor manufacturing industry. He has been with ASML since March 2016, progressing through various roles including Staff Software Engineer and Senior Software Engineer before his current position, which he has held since March 2022. His work primarily focuses on developing scalable image processing software and machine learning models for semiconductor manufacturing applications, particularly in metrology and computational lithography.12
Education and Early Career
Chen Zhang earned his Ph.D. in Theoretical and Mathematical Physics from the University of Colorado at Boulder, where he achieved a notable GPA of 3.97. He also holds a Bachelor's degree in Physics from Peking University. Before joining ASML, he worked as a Chemistry Postdoc at Lawrence Berkeley National Laboratory and held various research positions at institutions like Purdue University and JILA.1
Contributions and Expertise
Zhang's expertise lies in:
- Image Processing: Designing software that aids in the inspection and quality assurance processes within semiconductor manufacturing.
- Machine Learning: Implementing models that enhance image classification tasks critical for chip production.
- Computational Lithography: Utilizing modeling and simulation techniques to improve manufacturing precision.23
Professional Development
He is recognized for his contributions to the field of software engineering within the semiconductor industry and is actively involved in discussions about data science's role in enhancing manufacturing processes. Recently, he participated in the Women in Data Science (WiDS) conference, where he highlighted the importance of software engineering in developing complex machines for chip manufacturing.24
Languages
Chen Zhang is proficient in both Chinese (native) and English, allowing him to engage with a diverse range of colleagues and research communities.1
Overall, Chen Zhang's career reflects a strong blend of theoretical knowledge and practical application in software engineering, making significant contributions to ASML's innovative capabilities in semiconductor technology.