Doctoral Candidate, Social & Engineering Systems
Manxi Wu is a final year Ph.D. candidate in the Social and Engineering Systems program at the MIT Institute for Data, Systems, and Society. Previously, she obtained B.S. in Applied Math from Peking University (2015) and M.S. in Transportation from MIT (2017).
Her fields of interest are societal networks, game theory, network optimization, and the theory of economic incentives. Her research focuses on the study of platforms for information provision and autonomous services. She develops models for strategic learning, information design, and incentive mechanisms to achieve socially desirable outcomes in socio-technical systems.
Manxi is a recipient of Hammer Fellowship, UTC Milton Pikarsky Memorial Award, Siebel Scholarship, and EECS rising star.