Senior Battery Simulation Engineer
CurrentDeveloped advanced cell-level models in COMSOL Multiphysics with custom degradation equations, extracting material properties from GITT and EIS data. Designed and implemented a Bayesian optimization procedure for parameter calibration and automated the modeling workflow for scalable applications. Created optimal MSCC charging protocols, enabling 10%-90% charging in under 18 minutes while preserving cycle life, with a pending patent for the methodology. Built thermal models for large-capacity cells (>100Ah) to ensure efficient thermal management. Developed a TFT-based deep learning model in PyTorch Forecasting to predict SoH degradation and a PINN model inspired by Nature research to predict SoH using partial charging data.