Singapore
PhD candiate in Chemical Engineering in National University of Singapore. Experience on FMCG/Pharma/Semicon
1. Analyzed photolithography and process integration data (CD variation, fold error, EoD effects) using JMP to identify yield-impacting trends and support process optimization decisions. 2. Investigated reticle design, dose/focus conditions, and progression effects on device performance, providing mechanism-based insights to improve pattern fidelity and uniformity. 3. Collaborated with cross-functional teams to interpret SEM/data results, troubleshoot process excursions, and contribute to continuous improvement in 3D NAND manufacturing.
1. Partnered with Pfizer Manufacturing R&D to model and validate granulation workflow 2. Applied Discrete Element Method (DEM) to simulate particle-level cohesive interactions 3. Developed Python validation pipelines comparing morphology under 6 conditions with low RMSE 4. Extended the C++ contact model to include binder/liquid-phase behaviors with better agreement 5. Built a Population Balance Model in C++ for predicting particle size and liquid fraction evolution 6. Applied Gaussian-Process Bayesian Optimization, delivering property predictions within ±5% 7. Developed Reduced Order Model based on DEM and PBM data, achieving R^2 with experimental data over 99%
1. Developed 10+ assessment methods across internal & external labs for Hair Care products 2. Submitted regulatory-compliant claims for 50+ SKUs across 7 brands under CFDA 3. Developed H&S foaming shampoo formulation in color, fragrance, and efficacy performance 4. Conducted qualitative/quantitative consumer research on Rejoice Greenlight lineup in GC Market 5. Analyzed P&G GC Market E-Commerce data and competitor monitoring