• Conducted advanced preprocessing and analysis of 3D holotomography data to extract insights into the tumor microenvironment, aiding in the enhancement of oncological research

• Collaborate with pathologists, clinicians, and data scientists to develop novel approaches to image analysis and interpretation, with the goal of improving cancer and neurological disorder diagnosis and treatment• Leverage a range of deep learning models such as convolutional neural networks (CNNs) and transformer models to classify histopathological images, achieving high accuracy rates of up to 95%• Create heatmaps and GradCAM visualizations to interpret deep learning models, improving model transparency and interpretability• Employ dimensionality reduction techniques such as PCA, t-SNE, and UMAP to visualize high-dimensional data and identify patterns and clusters within the data • Preprocess and analyze terabyte-sized histopathological image datasets using custom Python scripts and image processing libraries

• Conducted data preprocessing, analysis, and visualization on over 60 GB of unstructured time series data• Achieved a 22% reduction in total process time by switching data structure to hash tables• Built 7 deep learning models using object-oriented programming (OOP), PyTorch, TensorFlow, and Keras

• Demonstrated technical proficiency by reviewing code and providing constructive feedback to over 70 students• Applied OOP and software development life cycle (SDLC) principles to evaluate code quality, maintainability, and efficiency• Collaborated with 2 Associate Professors and 2 Teaching Assistants to grade coursework in Systems Analysis & Design and App Software Project courses

► Increased productivity by 27% by coordinating production priorities, collecting and analyzing statistical data using MRP System in order to determine machinery quality trends in the industry.► Established teams of 5 productivity team members and delegated operational tasks to 7 junior managers.► Analyzed the work-in-process data using AMES (MRP System) to strategize production plans by communicating progress, potential risks, and backup plans with other departments.

► Centralized career programs for women in STEM fields► Orchestrated digital manufacturing equipment training programs for engineering students► Headed mentoring programs by inviting women engineers from government support projectThe Korea Women's Scientists and Engineers Support Center (WISET) is a comprehensive support organization for women scientists and engineers established in accordance with the .It is a public institution under the jurisdiction of the Ministry of Science and ICT.