Hsueh-Yi Lu Email & Phone Number

Kaohsiung City, Taiwan

● Led the creation of a Deep Reinforcement Learning (DRL) model for automating the optimization of PCB panel design, resulting in a 15% improvement in precision. ● Analyzed historical data from PCB panel designs to boost the model's performance and formulate ongoing optimization and enhancement strategies, which led to a 10% increase in the overall user satisfaction score.

Washington, District Of Columbia, United States

Conduct data analysis on patient long-term care related data and provide optimization and improvement plans.Spearheaded the development of LLM model, enabling automated comprehension and summarization of letters while incorporating nuanced nursing expertise, significantly enhancing the efficiency of nursing staff operations.

Washington, District Of Columbia, United States

● Conducted research on contact matrices and their application in the project, followed by testing, which resulted in improved RNA contact prediction and function learning. ● Demonstrated exceptional capability in complex structure-function learning by testing deepBreaks and Graph Convolutional Network (GCN), achieving an average prediction accuracy over 90%.

Taipei City, Taiwan

● Organize, conduct, and publish machine learning research in computer vision fields, especially in medical imaging.● Assisted in the development of a pioneering GigaPixel algorithm for weakly supervised deep learning, resulting in enhanced diagnostic accuracy with a 30% reduction in review time and improved sensitivity for micrometastasis and ITC detection during clinical experiments with pathologists.

Master'S Degree, Data Science

Bachelor, Financial Engineering & Actuarial Mathematic