Biniam Garomsa, B.S.

Data Science, Research Assistant
Biniam Garomsa

Biniam Garomsa is a Data Science Research Assistant in the Advanced Computing & Oncology (ACO) Lab at Memorial Sloan Kettering Cancer Center. He builds deep-learning models that extract quantitative biomarkers from clinical imaging to improve cancer risk prediction, treatment planning, and patient outcomes. Passionate about data science and its application in healthcare, Biniam focuses on translating AI advances into clinically meaningful tools.

Biniam holds a B.S. in Interdisciplinary Data Science from Duke University and Duke Kunshan University. He previously conducted medical-AI research at Brigham and Women’s Hospital.

Publications

Tak D, Garomsa BA. 2025. Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning. NEJM AI. 2(5). [PMID: 40535328]

 

View a full listing of Biniam Garomsa’s journal articles.