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Ming Yin is an Associate Professor in the Department of Computer Science at Purdue University. His research broadly connects the fields of human-computer interaction, applied artificial intelligence, machine learning, computational social science, and behavioral sciences. He employs experimental computational approaches to examine and utilize the 'wisdom of the crowd' to enhance machine intelligence, particularly in crowdsourcing and social computing. He designs intelligent systems that help people understand, trust, and engage effectively, focusing on the intersection of human-AI interaction. Ming's work has garnered significant recognition, including the prestigious NSF CAREER award and being named a Siebel Scholar in the Class of 2017. He has received multiple Honorable Mention Awards for papers presented at conferences such as CHI and CSCW. Previously, he served as a postdoctoral researcher at Microsoft Research in New York City from 2017 to 2018 after completing his Ph.D. in Computer Science at Harvard University in 2017. He earned his Bachelor's degree in Computer Software from Tsinghua University in Beijing, China, in 2011.
Microsoft Research • New York City
Conducted research on advancing machine learning and artificial intelligence applications.
GRE is not required.