Lecturer
Ejike Anusiem's global health work focuses on increasing clinical health outcomes by implementing effective reporting measures. His interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Anusiem's research explores how artificial intelligence can be utilized to extract and interpret data types through natural language processing to create and automate reports for health outcomes.
