Dr. David Hanauer

Associate Professor

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Biography

David Hanauer is a Clinical Associate Professor at the University of Michigan, specializing in Pediatrics, Learning Health Science, and Information Science. He is actively engaged in research focused on artificial intelligence, with specific interests in areas such as AI robot acceptance, AI chatbots, and moral economy within the context of healthcare. Hanauer's multidisciplinary approach combines insights from clinical practice and information science to explore the ethical and social implications of AI in medical settings. His work aims to bridge the gap between technological advancements and practical applications in health care, particularly in enhancing patient experiences and outcomes. Hanauer is also a potential PhD faculty advisor, guiding students in navigating the complexities of these emerging fields.

Research Interests

Experience

Clinical Associate Professor

— Present

University of Michigan • Ann Arbor, MI

Teaching and conducting research in the areas of Pediatrics, Learning Health Science, and Information Science.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science