Zhijing Wu is a Surface Treatment Product Development Engineer with nine years of experience bridging chemical engineering fundamentals and applied lab research, currently completing an MS at Columbia University. With hands-on internship experience at Solvay and a recent role at Foxconn, she brings expertise in analytical techniques such as ICP, NMR and XRD and practical wastewater and materials testing. She has applied data-driven approaches in biomedical projects—building Python-based prediction models using RNN/LSTM variants to forecast air-borne phytoncide concentrations with >97% accuracy—demonstrating a rare blend of lab rigor and machine-learning proficiency. Passionate about healthier lives, she targets roles in pharmaceuticals and cosmetics where polymer and formulation knowledge meet scalable product development. Based in Cupertino, she combines industrial R&D experience with academic depth from RPI and Columbia, often mentoring peers on lab best practices.
9 years of coding experience
Bachelor of Science - BS, Chemical Engineering, 3.69/4.0, Bachelor of Science - BS, Chemical Engineering, 3.69/4.0 at Rensselaer Polytechnic Institute
Master of Science - MS, Chemical Engineering, Master of Science - MS, Chemical Engineering at Columbia University
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