United States
- Worked with other researchers to build a Common Data Model (CDM) for medical data using Postgre SQL and Python, resulting in ready-to-use databases of patient measurements (e.g. cholesterol, sodium, insulin etc.) - Worked with other researchers to implement a clinical text data standardization tool for data pre-processing to map hospital’s unique terms, resulting in "MARIE: context-aware term mapping with string matching and embedding vectors".
- Sejong University HCI Lab - Conducted research on anomaly detection for composite images using Python, resulting in 92% accuracy - Conducted research on anomaly detection with convolutional LSTM based GAN using Python for Surveillance Videos
- Sejong University CVPR Lab - Worked with other researchers to build a deep learning application for domestic waste object classification based on CNN.