Ming Yin
Associate Professor of Computer Science
Ming Yin is an associate professor in the Department of Computer Science, Purdue University. Her research broadly connects to the fields of human-computer interaction, applied artificial intelligence and machine learning, computational social science, and behavioral sciences. She uses both experimental and computational approaches to examine how to better utilize the wisdom of crowd to enhance machine intelligence (i.e., crowdsourcing and social computing)… ↓More
Joined department: Fall 2018
Research Areas
- Artificial Intelligence, Machine Learning, and Natural Language Processing
- Human-Computer Interaction
Education
B.E., Tsinghua University, Computer Software (2011)
Ph.D., Harvard University, Computer Science (2017)
Ming Yin is an associate professor in the Department of Computer Science, Purdue University. Her research broadly connects to the fields of human-computer interaction, applied artificial intelligence and machine learning, computational social science, and behavioral sciences. She uses both experimental and computational approaches to examine how to better utilize the wisdom of crowd to enhance machine intelligence (i.e., crowdsourcing and social computing), and how to better design intelligent systems that people can understand, trust and engage with effectively (i.e., human-AI interaction). Ming is a recipient of the NSF CAREER award, and was named as a Siebel Scholar (Class of 2017). She received multiple Best Paper (CHI 2022, CSCW 2022, HCOMP 2020) and Best Paper Honorable Mention Awards (CHI 2025, CHI 2024, CHI 2019, CHI 2016). Ming was a postdoctoral researcher at Microsoft Research New York City in 2017-2018, completed her PhD in computer science at Harvard University in 2017, and received her bachelor's degree from Tsinghua University, Beijing, China, in 2011.