Mary Guan

Serves as a technical authority on computational optics and numerical solver architecture, supporting advanced optical manufacturing platforms Develops long-term algorithmic and architectural strategies for the fabrication, metrology, and system integration of precision optical components Sets technical standards for numerical accuracy, robustness, and scalability for optical software platforms Leads the resolution of the highest-risk numerical and modeling challenges impacting yield, quality, and performance Mentors senior engineers and guides cross-organizational technical decisions in optical system development

Responsible for key numerical solver components supporting high-precision optical manufacturing and inspection systems Leaded the technical direction for wavefront reconstruction, aberration correction, and inverse optics problems Contributed architecturally to the solver's scalability, robustness, and cross-system consistency Leaded the solution of the most complex numerical challenges impacting optical accuracy and manufacturability Influenced algorithm and system design decisions for the optics, metrology, and manufacturing departments

Led the development of computational models and solvers for advanced optical components and laser systems Defined default numerical methods, convergence criteria, and robustness strategies for large-scale optical simulations Performed root cause analysis of complex numerical problems affecting yield, alignment tolerances, and system performance Mentored junior engineers and served as a technical authority on computational optics methodologies Worked closely with manufacturing, materials, and software teams to deliver production-ready simulation tools

Designed and maintained numerical algorithms for optical system simulation and manufacturing process optimization Developed solver strategies for wave optics, geometric optics, and tolerance analysis to address manufacturing variability Diagnosed and resolved numerical problems related to sensitivity, conditions, and numerical noise in optical simulations Improved the performance and robustness of algorithms for high-precision optical design and verification workflows Provided algorithmic expertise to cross-functional teams encompassing optical design, manufacturing, and metrology