Cha Meeyoung | |
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Born | |
Nationality | South Korean |
Other names | Mia |
Alma mater | KAIST |
Known for | Facts before Rumors research, Measuring User Influence in Twitter: The Million Follower Fallacy |
Scientific career | |
Fields | Social computing, complex networks, data science, social networking services |
Institutions | Max Planck Institute for Software Systems, KAIST, SK Telecom, Korea Internet Self-Governance Organization, Facebook, Institute for Basic Science, Max Planck Institute for Security and Privacy |
Theses |
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Doctoral advisors | Moon Sue (문수복)[1] |
Other academic advisors | Kim Taewhan |
Korean name | |
Hangul | 차미영 |
Hanja | |
Revised Romanization | Cha Miyeong |
McCune–Reischauer | Ch'a Miyŏng |
Website | PRC for Mathematical and Computational Sciences - Data Science Group |
Cha Meeyoung (Korean: 차미영; born July 28, 1979), sometimes known as Mia, is an associate professor at KAIST in the School of Computing and a chief investigator in the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science. Her research focuses on network and data science with an emphasis on modeling, analyzing complex information propagation processes, machine learning-based computational social science, and deep learning. In June 2024, she will become the scientific director of the Max Planck Institute for Security and Privacy. She has served on the editorial boards of the journals PeerJ and ACM Transactions on Social Computing.