3 papers
stat.ML2025
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example
Keilung Choy, Wei Xie, Keqi Wang
Bioprocess mechanistic modeling is essential for advancing intelligent digital twin representation of biomanufacturing, yet challenges persist due to complex intracellular regulati…
cs.LG2025
Digital Twin Calibration with Model-Based Reinforcement Learning
Hua Zheng, Wei Xie, Ilya O. Ryzhov +1
This paper presents a novel methodological framework, called the Actor-Simulator, that incorporates the calibration of digital twins into model-based reinforcement learning for mor…
q-bio.MN2024
Multi-Scale Hybrid Modeling to Predict Cell Culture Process with Metabolic Phase Transitions
Keqi Wang, Sarah W. Harcum, Wei Xie
To advance understanding of cellular metabolism and reduce batch-to-batch variability in cell culture processes, this study introduces a multi-scale hybrid modeling framework desig…