Dr. Feldman's expertise is in artificial intelligence, machine learning and data science, and his academic interests lie at the intersection of computational methods and healthcare with an emphasis on neonatal and pediatric care. His research centers on improving the utilization of data generated through clinical care, including efforts in translational science and health outcomes, exploring variability between patient conditions, care patterns, and downstream outcomes. He is also engaged in a body of methodological work, developing novel computational approaches to advance the ways in which AI/ML models address complexities from noisy, high-dimensional, and heterogeneous data commonly found in the analysis of real-world healthcare practice.
- B.S. Computer Science, University of Notre Dame
- M.S. Computer Science and Engineering, University of Notre Dame
- PhD. Computer Science and Engineering, University of Notre Dame
Health Services Research and Policy Focus
Condition Focus
Population Focus
U-M Academic Affiliation(s)
Medical School
Medical School
Learning Health Sciences
IHPI Policy Priority Areas
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U-M Primary Appointment
Associate Professor
Medical School » Learning Health Sciences
Contact Information
Email
[email protected]