Joel Chan

Joel Chan is an Associate Professor at the University of Maryland College of Information Studies, Associate Director of the Human-Computer Interaction Lab, and Assistant Director of the PhD program in Information Studies. His research focuses on developing systems that support creative knowledge work, spanning personal cognitive skills, interfaces, tools, and practices; to tools and dynamics in collaboration and organization; collective intelligence and crowdsourcing; and the sociotechnical infrastructure of knowledge work. His goal is to build an open and sustainable future where researchers can rapidly integrate interdisciplinary theories and evidence, and to help communities design solutions to their most pressing challenges. He was previously a Postdoctoral Fellow at the Human-Computer Interaction Institute at Carnegie Mellon University and earned his PhD in Cognitive Psychology at the University of Pittsburgh.

• 2017–Present·University of Maryland College of Information Studies·Associate Professor
  • Research areas include human-computer interaction, data science, machine learning, and knowledge infrastructure.
  • Responsible for managing the PhD program and leading research at the Human-Computer Interaction Lab.
• 2015–2017·Carnegie Mellon University Human-Computer Interaction Institute (HCII)·Postdoctoral Fellow and Project Scientist
  • Conducted interdisciplinary innovation research, investigating how computational analogy can accelerate scientific discovery.

• 2011–2015·University of Pittsburgh·PhD
  • Field of Study: Cognitive Psychology
  • Advisor: Christian Schunn