Dr. John Garrett

Associate Professor

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Biography

John W. Garrett is an Associate Professor in the Department of Radiology at the University of Wisconsin-Madison, where he serves as the Director of Imaging Informatics. His role involves overseeing informatics projects within the department, facilitating access to clinical data systems for researchers, and leading the development of computational storage infrastructure to support cutting-edge imaging research. Dr. Garrett has extensive expertise in evaluating and translating modern deep learning and machine learning techniques for medical imaging applications. Notably, he has a significant interest in developing and assessing tools for multi-site frameworks, particularly approaches such as federated learning. With a robust background in x-ray and CT physics, and substantial experience in high-performance parallel computing, Dr. Garrett's research emphasizes leveraging machine learning for opportunistic screening using abdominal CT, as well as the clinical evaluation of deep learning tools focused on computer vision and image analysis. His position as Director of Imaging Informatics fosters collaborations with various academic departments and health systems, particularly UW Health, enhancing the integration of informatics in imaging research to address pressing challenges in healthcare.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

University of Wisconsin-Madison • Madison, WI

As an Associate Professor, John W. Garrett oversees informatics projects, facilitating access to clinical data systems for researchers and leading the development of computational storage infrastructure.

Requirements for University of Wisconsin–Madison

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:92
IELTS
Overall
Required:7
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Programming experience (Data Structures, Machine Organization) One year college-level calculus
Application Checklist
  • Statement of Purpose
  • CV/Resume
  • Three letters of recommendation
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Sciences