Education: Ph.D., Political Science, The University of Michigan, Ann Arbor; M.A., Political Science, The University of Michigan
Courses Taught: NA
Dr. Brown's current research explores algorithmic and implicit bias in health disparities and machine learning; data science ethics in scientific misinformation; and blockchains in protecting data privacy and ethics in healthcare of diverse populations and regulatory systems. Her related writings include topics on health biometrics and data protection in China and the United States; China's second-generation identification card and RFID technology; protection of genomic privacy data; robotics and deep-sea mining; and socioeconomic and landscape determinants of machine learning. 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 joint publication on ethics in computer science education. Dr. Brown is a member of Women in AI; Black in AI, the Data Science Association, Healthcare Information and Management Systems Society (HIMSS); American Public Health Association; and the Health Policy & Policy, Information Technology & Politics, and Science, Technology & Environmental Politics sections of the American Political Science Association.