Andrew Lu, MSc, RN, is a second-year PhD student in the Nursing–Artificial Intelligence and Data Science track at the Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University. He also serves as a Student Editorial Board Member of the Journal of the American Medical Informatics Association (JAMIA). His current research centers on CardioAI, with a focus on leveraging machine learning and ECG data to detect myocardial infarction (MI) and integrating ECG with CCT for heart failure detection. Prior to his doctoral training, Andrew built a strong foundation in psychiatric and clinical nursing research, contributing to peer-reviewed publications in journals including the Journal of Psychiatric Research, Digital Health, and BMC Nursing. A licensed registered nurse with data science training, he is committed to advancing AI-driven solutions that bridge clinical nursing practice and precision cardiovascular care.
Andrew Lu, MSc, RN
PhD student
Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University
Public Biography
Andrew Lu, MSc, RN, is a second-year PhD student in the Nursing–Artificial Intelligence and Data Science track at the Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University. He also serves as a Student Editorial Board Member of the Journal of the American Medical Informatics Association (JAMIA). His current research centers on CardioAI, with a focus on leveraging machine learning and ECG data to detect myocardial infarction (MI), and integrating ECG with CCT for heart failure detection. Prior to his doctoral training, Andrew built a strong foundation in psychiatric and clinical nursing research, contributing to peer-reviewed publications in journals including the Journal of Psychiatric Research, Digital Health, and BMC Nursing. A licensed registered nurse with data science training, he is committed to advancing AI-driven solutions that bridge clinical nursing practice and precision cardiovascular care.