Faculty and Staff

HI Director and Faculty

  • Associate Professor, Applied Computing
  • Graduate Program Director, MS in Health Informatics
  • Graduate Program Director, PhD in Computational Science and Engineering

Research Interests

  • Human Health-focused ML/DL and Computer Vision
  • Large-scale Cybersecurity architectures
  • mHealth
  • Biometric development
  • Intelligent medical devices

Links of Interest

Personal Webpage

Teaching Interests

  • Cybersecurity
  • Medical/Health Informatics
  • Data Science
  • Network Engineering
  • Associate Professor, Health Informatics, Applied Computing
  • Affiliated Associate Professor, Biomedical Engineering, Computer Science, Electrical and Computer Engineering, and Mathematical Sciences

Teaching Interests

  • Medical Informatics
  • Medical Image Analysis

Areas of Expertise

  • Image Processing and Computer Vision
  • Machine Learning
  • Medical Image Analysis
  • Health Informatics
  • Text Mining 

Adjunct Faculty

  • Adjunct Instructor, Applied Computing
  • Member, Applied Computing Industrial Advisory Board (CNSA/HI)
  • Board of Directors, Michigan, Healthcare Information and Management Systems Society (HIMSS)

Teaching Interests

  • Medical/health informatics
  • Health information exchanges
  • System design and analysis
  • Network design and engineering
  • Telehealth

Research Interests

  • Interoperability among healthcare providers / systems / organizations
  • Advancing health information exchanges
  • Improving population health and patient data analytics
  • Healthcare data conformance and standardization
  • Developing meaningful HIT collection and reporting systems
  • Intelligent medical devices
Christopher Dehlin

Christopher Dehlin

  • Adjunct Professor, Health Informatics
  • Chief Medical Information Officer/Family Medicine, UP Health System - Marquette, Michigan

Research Interests

  • Implementation/optimization of Electronic Medical Records (inpatient/outpatient)
  • Data reporting for quality improvement projects
  • Turning clinical/operational data into actionable information
  • Rule-based decision support in patient care applications
  • Attribution algorithm of patients to providers
  • Meaningful Use
  • Accountable Care Organizations and alternative methods to manage patients with chronic disease