Originally from Seattle, Washington, Harvey Shi is an MD-PhD student at Duke University. In 2018, Harvey Shi recently graduated summa cum laude from Duke with dual degrees in Biomedical Engineering and Computer Science. Throughout high school and college, he developed an interest in research, which has evolved into a passion for solving biomedical problems using computing. A Goldwater scholar, Harvey is also the 2018 recipient of the Edward D. “Ned” Light Memorial Award, which is “given to the Pratt Fellow in Biomedical Engineering for the project with the best engineering design.” During the 2017-2018 academic year, he was the Duke Smart Home president. In his spare time, Harvey enjoys basketball, drawing, music, and spending time with his family and friends.

Publications while with DIHI

• Henry P. Foote, MD; Zohaib Shaikh, MD; Daniel Witt, MD, MS; Tong Shen, MS; William Ratliff, MBA; Harvey Shi, BSE; Michael Gao, MS; Marshall Nichols, MS; Mark Sendak, MD, MPP; Suresh Balu, MBA, MS; Karen Osborne, BSN, RN; Karan R. Kumar, MD, MS; Kimberly Jackson, MD; Andrew W. McCrary, MD, MS; Jennifer S. Li, MD, MHS. Development and Temporal Validation of a Machine Learning Model to Predict Clinical Deterioration. Hosp Pediatr (2024) 14 (1): 11–20. https://doi.org/10.1542/hpeds.2023-007308
• W Ratliff, ZK Wegermann, H Shi, M Gao, M Sendak, A Kansal, C O’Brien, … Early Identification of High Risk Cardiac Decompensation Phenotypes via Real-time Electronic Health Record Data. Circulation 142 (Suppl_3), A16450-A16450
• H Premo, H Shi, SH Rachakonda, W Knechtle, M Nichols, M Gao, et al. (2022). A Geriatric-Specific Morbidity and Mortality Risk Stratification Tool. Machine Learning for Healthcare