Dr. Eneida Mendonca’s research focuses on developing novel language-driven approaches and automated learning methods to support decision making; exploiting automated semantic and statistical methods to extract biomedical data from patient records; creating new ways to automatically integrate evidence into clinical practice; and improving infrastructure for health care and clinical research. She has been involved in many federally funded grant projects, including a $3.9 million National Institutes of Health (NIH)-funded Environmental Influences on Child Health Outcomes (ECHO) study and the Children’s Respiratory Research and Environment Workgroup (CREW), where she uses informatics tools to harmonize data among several large cohorts, combining clinical data, social determinants of health, behavior and biological markers, among others. 

She received a medical degree from the Federal University of Pelotas in Brazil and a Ph.D. in biomedical informatics from Columbia University in New York. She is a fellow of the American College of Medical Informatics and the American Academy of Pediatrics.