Lucila Ohno-Machado

Lucila Ohno-Machado at Federal Big Data Effort launch

Lucila Ohno-Machado is a prominent biomedical informatics researcher and professor. She is known for her contributions to the field of health informatics, particularly in the areas of machine learning, data privacy, and clinical decision support systems.

Early Life and Education

Lucila Ohno-Machado was born in Brazil. She earned her medical degree from the University of São Paulo and later pursued a Ph.D. in Medical Information Sciences from Stanford University.

Career

Ohno-Machado began her career as a faculty member at Harvard Medical School, where she contributed significantly to the development of biomedical informatics programs. She later joined the University of California, San Diego (UCSD), where she served as the founding chair of the Department of Biomedical Informatics.

Research Contributions

Ohno-Machado's research focuses on the application of machine learning techniques to improve clinical decision support systems. She has developed several algorithms that enhance the accuracy and efficiency of predictive modeling in healthcare. Her work also addresses the critical issue of data privacy in healthcare data sharing, advocating for secure and ethical practices.

Awards and Honors

Throughout her career, Ohno-Machado has received numerous awards, including the American College of Medical Informatics (ACMI) Fellowship and the International Medical Informatics Association (IMIA) Fellowship. She has also been recognized by the National Institutes of Health (NIH) for her contributions to biomedical research.

Professional Memberships

Ohno-Machado is an active member of several professional organizations, including the American Medical Informatics Association (AMIA) and the Institute of Electrical and Electronics Engineers (IEEE).

Selected Publications

• Ohno-Machado, L., et al. "A machine learning approach to predict clinical outcomes." Journal of Biomedical Informatics.
• Ohno-Machado, L., et al. "Data privacy in healthcare: Challenges and solutions." Journal of the American Medical Informatics Association.

See Also

• Biomedical Informatics
• Health Informatics
• Machine Learning
• Clinical Decision Support Systems
• Data Privacy