Pei-Wei Chen is a PhD student at UC Berkeley working with Prof. Sanjit Seshia, specializing in formal methods with a focus on decision procedures such as SAT, QBF, and SMT. With eight years of experience bridging theory and practice, Pei-Wei has applied research skills during two Applied Scientist internships at AWS and brings a pragmatic eye toward industrial impact. Trained in Applied Logic and Computation in System Design at National Taiwan University, they combine deep theoretical grounding with hands-on problem solving in automated reasoning. Pei-Wei is particularly interested in translating advances in decision procedures into tools and workflows that can be adopted beyond academia.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree Applied Logic and Computation in System Design, Bachelor's degree Applied Logic and Computation in System Design at National Taiwan University
Contributions:1 PR, 40 pushes, 2 branches in 28 days
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