Aaron Kornblith

Dr. Aaron Kornblith is an Associate Professor of Emergency Medicine and Pediatrics at the University of California, San Francisco (UCSF). He serves as the research lead for the Division of Pediatric Emergency Medicine, co-HEDA PI for the Pediatric Emergency Care Applied Research Network (PECARN), and site PI for NEXUS. He is also an affiliated faculty member of the UCSF Bakar Computational Health Sciences Institute & Center for Intelligent Imaging.

• MD from University of Colorado School of Medicine (2009)
• MS in Clinical & Epidemiological Research (2025) from UCSF
• Fellowships in Pediatric Emergency Ultrasound and Pediatric Emergency Medicine (2015)
• Residency in Emergency Medicine (2013)

His research focuses on enhancing diagnostic evaluation for injured children using advanced data analytics, AI-enhanced diagnostics, and clinical trial validation. Funded by the NIH, NSF, and Pediatric Device Consortium, his work integrates machine learning and imaging informatics to improve precision medicine in emergency settings.

Recent publications (2022-2025) emphasize AI-augmented ultrasound, LLM applications in emergency triage, and pediatric trauma diagnostics. Key funding includes HRSA SPARC grants for machine learning in trauma diagnostics and NIH K23HD110716-01 for AI-enabled point-of-care ultrasound.

Notable awards include the 2025 P2 Network Research Innovation Award, multiple teaching honors (2017-2019), and recognition as Top Reviewer in Annals of Emergency Medicine (2022). He leads the Kornblith Data Science Lab at UCSF.