Yingshuang Cheng

Yingshuang Cheng is a graduate student in chemical engineering developing frameworks for real-time risk analysis in biopharmaceutical manufacturing. Process parameters are inherently uncertain, and these uncertainties may propagate and amplify through complex nonlinear dynamics, making it difficult to balance performance, safety, and cost. To address this, she develops a polynomial chaos expansion (PCE)-based framework for real-time uncertainty quantification in continuous processes. Using primarily MATLAB-based process models, she constructs PCE surrogate models through large-scale simulations under randomized parameter realizations. On the theoretical side, she derives analytical expressions for PCE coefficients that highlight the key conditions under which open‑loop PCE can support reliable system behavior, offering guidance for developing future PCE‑based control strategies. As a MathWorks Fellow, she will implement and validate PCE-based control formulations for manufacturing systems. Yingshuang’s research could advance risk-aware control design, enabling safer and more economical biopharmaceutical manufacturing.