David A. Hanauer

David A. Hanauer is a Clinical Associate Professor at the University of Michigan, holding joint appointments in Pediatrics, Learning Health Science, and the School of Information. He focuses on healthcare informatics, clinical data analysis, and AI applications in medicine. His work addresses challenges in reproducibility of large language models, healthcare data standards, and privacy-preserving techniques.

Education:

• BA, Cornell University (1995)
• MD, University of Michigan Medical School (1999)
• MS, Harvard–MIT Division of Health Sciences and Technology (2004)
• Pediatric Residency, New York University (2002)

Research Interests: Dr. Hanauer explores clinical natural language processing, healthcare AI validation, interoperability standards like LOINC, and privacy-preserving methods for training clinical models. He develops tools like EMERSE to enhance unstructured data utilization.

Affiliations: Institute for Healthcare Policy and Innovation, Rogel Cancer Center, Center for Computational Medicine and Bioinformatics.

Grants & Mentoring: Available to mentor researchers. His grants likely support clinical informatics projects given his publication focus.