معرفی
Sommer E. Gentry is a Professor in the Department of Surgery at NYU Grossman School of Medicine. She serves as Co-Director of the Center for Surgical and Transplant Applied Research (C-STAR) and Director of the C-STAR Operations Research Core, where she leads initiatives in transplant policy, organ allocation, and data-driven surgical outcomes research.
- PhD, Massachusetts Institute of Technology
Her research spans transplantation equity, organ allocation algorithms, data generalizability in EHRs, and the role of AI in patient education and clinical decision-making. She applies operations research and biostatistical methods to improve transplant access and outcomes. Her work frequently addresses policy-level questions in kidney and liver transplantation, including the impact of continuous distribution models and equity-focused reforms.
Recent publications reveal a strong focus on integrating advanced data science with transplant medicine. Themes include the validity of real-world data sources like Epic Cosmos compared to SRTR, optimization of organ sharing policies, and evaluation of AI tools like ChatGPT in clinical transplant settings. Her research bridges computational modeling and practical clinical implementation.
Dr. Gentry has not been publicly recognized with specific scientific awards in the provided text, but her high-impact publications in journals such as American Journal of Transplantation and Transplantation reflect significant scholarly contributions.
She advises transplant research initiatives through her leadership roles at C-STAR and collaborates extensively with national transplant databases and research teams. While specific grant funding is not mentioned, her involvement in multi-center studies suggests active grant-supported research. She does not list formal advisees in the provided profile.
She leads the C-STAR Operations Research Core, a multidisciplinary team focused on applying quantitative methods to surgical and transplant challenges. The core supports research in allocation policy, outcomes modeling, and health services innovation.
