Biography
Dr. Sae-Hwan Park specializes in machine learning applications for population health and health care equity at Penn Medicine. Since joining Penn in 2020, he has established himself as a leading researcher in developing AI systems that address algorithmic bias and integrate social determinants into clinical prediction models.
His research focuses on detecting and mitigating unfairness in health care algorithms, particularly in mortality prediction and Medicare risk adjustment systems. Dr. Park’s works on age as a mechanism of racial bias and race-neutral approaches to health equity will impose significant policy implications. He has contributed to over 20 publications in leading journals including JAMA, Health Affairs, and Nature Digital Medicine.
Dr. Park’s educational foundation includes a bachelor’s in electronic engineering from KAIST, a master’s in econometric analysis from the University of Illinois at Urbana-Champaign, and a doctorate in health outcomes research from the University of North Texas Health Science Center. This interdisciplinary background uniquely positions him at the intersection of engineering, economics, and health services research.
Beyond health care AI, he actively contributes to systems programming and cybersecurity education, reflecting his commitment to both advancing medical applications and strengthening the technical foundations that support them.