My research aims to leverage human computation and machine intelligence to effectively solve complex tasks that require domain expertise, such as software development, program synthesis, and crisis informatics. I study problems that users face with existing tools and methods, and build computational systems to assist users via efficient collaboration and hybrid crowd-machine workflow.
Research Overview: [pdf]
Yan Chen is a doctoral student at School of Information, University of Michigan, advised by Dr. Walter S. Lasecki and Dr. Steve Oney. He is a member of CromaLab and MISC, and his research work has been published multiple times on top academic conference (CHI). He holds a bachelor's degree in Applied Mathematics and Electrical and Computer Engineering, and a master's in Applied Mathematics all from University of Colorado at Boulder.