We are pleased to announce the promotion of Dr. Luis M. Ahumada to the rank of Associate Professor of Anesthesiology and Critical Care Medicine on the Scholarship Track. This well-deserved promotion recognizes Dr. Ahumada’s significant contributions to pediatric health data science, predictive analytics, artificial intelligence and machine learning, biomedical informatics, and learning health systems.

Since joining Johns Hopkins All Children’s Hospital in 2017, Dr. Ahumada has built an impactful program in pediatric data science and advanced analytics. He serves as Director of the Predictive Analytics AI/ML Core, Founding Director of the Center for Pediatric Data Science and Analytic Methodology, and Executive Director of Advanced Technologies and Data Science for the Johns Hopkins Health System. Through these roles, he has developed infrastructure, analytic methods, and collaborative programs that support clinical decision-making, patient safety, quality improvement, and research across Johns Hopkins.

Dr. Ahumada’s scholarship includes more than 45 peer-reviewed original research articles, along with numerous reviews and other scholarly contributions addressing pediatric risk prediction, clinical deterioration, social needs, digital health, and emerging AI technologies. His work has earned national and international recognition through invited presentations, editorial service, awards, external collaborations, and leadership in pediatric AI/ML. He has also mentored clinicians, trainees, and data scientists while advancing responsible and innovative applications of AI in healthcare. Please join us in congratulating Dr. Luis M. Ahumada on this important achievement and recognizing his continued contributions to pediatric data science, clinical innovation, and the Johns Hopkins community.