Jinwoo Choi

Ai Scientist @LG CNS

AI Scientist at Data AI Lab, AI Research Center, LG CNS, specializing in optimizing machine learning algorithms and implementing AutoML techniques for improved model efficiency and accuracy. • Implemented restart features for DAKOTA and achieved a 280% improvement in calculation performance through local parallel programming. • Achieved exceptional performance improvements by utilizing a Self-Organizing Genetic Algorithm (SOGA) combined with hybrid sequentialization, followed by the independent Constructed Optimization By Linear Approximations (COBYLA) algorithm. This approach yielded an outstanding improvement of approximately 790% compared to sequential methods and 370% compared to existing methodologies. • Currently focusing on enhancing efficiency and accuracy in model optimization processes by developing a Response Surface Methodology (RSM) optimization technique using DAKOTA\'s Surrogate-Based Optimization (SBO).