Registered user since Thu 14 Jul 2016
Amy J. Ko is a Professor at the University of Washington Information School and an Adjunct Professor at the Paul G. Allen School of Computer Science and Engineering. She directs the Code & Cognition Lab, where she studies human aspects of programming. Her earliest work included techniques for automatically answering questions about program behavior to support debugging, program understanding, and reuse. Her later work studied interactions between developers and users, and techniques for web scale aggregation of user intent through help systems; she co-founded AnswerDash to commercialize these ideas. Her latest work investigates effective, equitable, scalable ways for humanity to learn computing, including programming languages, APIs, programming strategies, design, and machine learning. Her work spans over 100 peer-reviewed publications, 11 receiving best paper awards and 4 receiving most influential paper awards. She is an ACM Senior Member, and member of ACM SIGCHI, SIGCSE, and SIGSOFT. She received her Ph.D. at the Human-Computer Interaction Institute at Carnegie Mellon University in 2008, and degrees in Computer Science and Psychology with Honors from Oregon State University in 2002.
Contributions
2020
ICER
- Conference opening
- Day 4 Welcome + Survey
- Program Co-Chair in Organizing Committee
- Session Chair of Asia Social (part of Socials)
- Session Chair of Closing Award Session (part of Plenary)
- Program Co-Chair in Program Committee within the Research Papers-track
- Session Chair of Programming and Agency (part of Research Papers)
- Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics
- Award Session
- Session Chair of Day 2 Closing (part of Plenary)
- Session Chair of Day 4 Opening (part of Plenary)
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