Lucas Shao

Entrepreneurship / Self-Employed @ Career Break

About

With over 20 years in semiconductor manufacturing and data strategy, my career spans roles at leading organizations, including TSMC, GlobalFoundries, and Applied Materials. My focus has been on process engineering, data integration, and applying data-driven approaches to enhance manufacturing performance and enable informed decision-making. Currently, as an entrepreneur, I am leveraging advanced data integration and process expertise to develop AI-related applications aligned with personal goals. My mission is to bridge complex process data and AI-driven solutions, fostering innovation and practical advancements in technology.

Country

City

United States

Industry

Semiconductors

Skill

Process Engineering

Experience

Entrepreneurship / Self-Employed

Career Break

2024-9 - Present · 2 yrs 1 mo

Developing AI-related applications to achieve personal goals

Vice President of Semiconductor Data Strategy

GlobalFoundries

2021-2 - 2024-7 · 3 yrs 6 mos

Malta, New York, United States

Responsible for the company's global wafer fab data strategy, yield big data platform, and AI predictive maintenance system Leaded cross-fab data lake and data standardization projects, integrating equipment, APC, FDC, MES, and EPC data from the 300mm production line into a unified platform Driven machine learning-based process optimization models to help improve yield and shorten process development cycles Collaborated with the CTO, VP of Manufacturing, and customer technology teams to plan data-driven manufacturing strategies for advanced process nodes

Director of Manufacturing

TSMC

2016-3 - 2021-1 · 4 yrs 11 mos

Phoenix, Arizona, United States

Responsible for manufacturing data governance and AI automation platforms for 14nm and 10nm wafer fabs Leaded a cross-functional team of data scientists, process engineers, and IT architects to build an intelligent yield analysis system Designed equipment data acquisition architecture (SECS/GEM + EDA), improving equipment data throughput by 40% Driven the use of AI for defect detection, process drift prediction, and virtual metrology

Senior Process Engineer

TSMC

2011-7 - 2016-2 · 4 yrs 8 mos

Hsinchu City, Taiwan, Taiwan

Responsible for data analysis and process integration for 300mm advanced processes (28nm/16nm) Collaborated with process, integration, and equipment teams to establish a standardized FDC model library Developed process deviation tracking and root cause classification systems for the technology R&D team

Semiconductor Engineer

Applied Materials

2006-7 - 2011-5 · 4 yrs 11 mos

Santa Clara County, California, United States

Responsible for data analysis and customer process integration support for PVD/CVD/Etch related equipment Developed visualization tools for yield data to help the fab quickly locate process anomalies

Test Data Engineer

Micron Technology

2002-4 - 2006-6 · 4 yrs 3 mos

Boise, Idaho, United States

Career began with test data analysis and quality monitoring for semiconductor memory Participated in the early development of automated test data integration and quality systems