SCAR Study

Paul is a research fellow at Brigham and Women’s Hospital and Harvard Medical School. Due to his background as a nephrologist with a PhD in biomedical informatics, he is enthusiastic about the application of data science and machine learning techniques in the medical field. Before joining the MTERMS Lab, he conducted several medical image research projects related to renal pathology and ophthalmological images using convolutional neural network and generative adversarial network. In addition, he also worked with his colleagues in Taiwan to build and implement a real-time early warning dashboard system in hospital for detecting inpatient deterioration with machine learning and deep learning. Currently, he focuses on projects related to allergy discrepancy reconciliation, stigmatizing language detection in clinical notes and predictive modeling.