Yiyang Wu

R & d Chemical Engineer @迈图

NY, US

Built automated Python and machine-learning pipelines for high-throughput analysis of film coverage, optical properties, and polymer structure–property relationships using multimodal datasets.• Applied DOE and statistical process control (Minitab) to optimize formulation stability and film quality, establishing data-driven process parameters for reproducible deposition.• Integrated optical, mechanical, and thermal characterization data to guide sustainable material design and predict deposition behavior under varying crosslinking conditions.

Columbia University in the City of New York

Doctor of Philosophy - PhD

University of Sydney

B.Eng Honours

ETH Zürich

Exchange