About Me



I am a human-computer interaction (HCI) researcher with over eight years of research experience. I apply user research methods to bring a human-centric perspective to the design and development of AI-based technologies. I have a demonstrated interest in the domain areas of human-AI interaction, health informatics, and applied natural language processing. I am seeking opportunities to contribute my expertise in HCI research and grow in the emerging field of human-centered AI to inform the design of intelligent products.

As an NLM Postdoctoral Fellow at University of Washington, I am exploring the intersection of patient-clinician communication and clinical natural language technologies. As part of the UnBIASED project, I am currently leading a team of nine researchers and designers at UW and UCSD to develop an AI-powered tool that 1) monitors clinicians' body language and communication style and 2) provides feedback to mitigate hidden healthcare biases that impact racially and gender-diverse people.

I received my PhD in Human-Centered Computing at Georgia Tech, and was advised by Dr. Lauren Wilcox (primary) and Dr. Rosa Arriaga. My dissertation focused on designing and deploying intelligent mobile health technologies to help pediatric patients manage complex chronic conditions. I have published in leading conference proceedings and journals, including the ACM Conference on Human Factors in Computing Systems (ACM SIGCHI) and the Journal of American Medical Informatics Association (JAMIA). My research is recognized with the George Family Foundation Fellowship and Georgia Tech Foley Scholars Award.

I hold a Master's in Human-Computer Interaction from Carnegie Mellon University and a B.S. in Cognitive Science from the University of California, San Diego.





mkhong87[at]uw[dot]edu
Biomedical Informatics and Medical Education
School of Medicine
University of Washington
UW Medicine South Lake Union
850 Republican Street, Box 358047
Seattle, WA 98109