Cheryl L. Brown

Education: Ph.D. in Political Science, University of Michigan, Ann Arbor
M.A. in Political Science, University of Michigan

Courses Taught: NA

Biography:
Dr. Brown’s current research emphasizes human-centered intersection of AI, machine learning, and data privacy in mitigating negative health outcomes and cross-sectional responsible ethical framework and verification, validation, and uncertainty quantification for technology acceptance. She was the contact lead PI of an AIM-AHEAD National Institutes of Health multidisciplinary research team in biomedical informatics, computer science, engineering, medicine, and political science on the project, “Addressing Health Inconsistencies in Heart Transplant through Fair AI/ML Approaches” during 2023-2025. She is a Co-PI on the multidisciplinary research team project, “EMED: An Ethical Mixture-of-Experts Digital Twin Framework for Medical Device Surveillance,” sponsored by the National Institutes of Health, 2025-2026. Her related writings include topics on heart transplant primary graft dysfunction with machine learning, protection of genomic privacy data, robotics and deep-sea mining, socioeconomic and landscape determinants of machine learning, health biometrics and data protection in China and the United States, and China’s second-generation identification card and RFID technology. She was selected to join the ethics in computer science working group at the Association for Computing Machinery (ACM) Computer Science Education Conference and attended the ACM Turing Celebration Conference in Chengdu, Sichuan, China in May 2019, which led to the working group’s joint publication on ethics in computer science education. Dr. Brown is a member of the American Medical Informatics Association, American Political Science Association, American Public Health Association, American Society of Mechanical Engineers, Association for Asian Studies, Association for Computing Machinery, Digital Twins for Health Society, Health Information Management Systems Society (HIMSS), and the Institute of Electrical and Electronics Engineers (IEEE).