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.
Early life and education
Mia was born in
Daejeon,
South Korea. She had a "boring" childhood in
Chuncheon City,
Gangwon Province where she often spent time alone in her thoughts.[1] Growing up, she often would play with the novelist
O Jeonghui's daughter as they were the same age and lived in the same apartment complex.[2]
She went to Bongeui Middle School (ko)[3] and then was one of the only female students attending
Kangwon Science High School at that time.[2] The entirety of Meeyoung's higher education has taken place at the
Korea Advanced Institute of Science and Technology (KAIST) in
Daejeon, South Korea. She initially desired to major in astroypyhsics, as she grew up loving stars and was influenced by her physicist father, but KAIST had no degree in astroypyhsics.[4] Majoring in
computer science, she graduated
magna cum laude for her B.S. Within the Graduate School for Culture Technology at KAIST,[5] the adviser for her M.S. was Kim Taewhan,[6] and her Ph.D. was supervised by Sue Moon.[7]
Career
In 2008, Meeyoung worked as a postdoc in
Max Planck Institute for Software Systems[8] under adviser Krishna Gummadi.[9] Leaving Max Planck, she returned to her alma mater and became an assistant professor in the Graduate School of Culture Technology[10] later becoming an associate professor joint faculty member in the School of Computing.[11] Outside of KAIST, she worked as a scientific and technical consultant for both
SK Telecom and the Korea Internet Self-Governance Organization in 2010 and 2014, respectively.
In 2015, Meeyoung went to
Menlo Park to work as a visiting professor with
Facebook's Data Science Team[12] hosted by
Lada Adamic. In 2019, she and
Oum Sang-il were the founding chief investigators of the Pioneer Research Center for Mathematical and Computational Sciences at the
Institute for Basic Science (IBS). This and the Pioneer Research Center for Biomolecular and Cellular Structure are the first of two such centers at IBS.[13][14][15] Headed by Meeyoung, the Data Science Group researches
fake news, perception biases in relation to AI, deep learning of heterogeneous data for modeling human behavior, and prediction efforts through language processing and image analysis.[16] Seeing the
infodemic on COVID-19 information starting in China and spreading to Korea and the US, the Data Science Group and researchers from
Ewha Womans University, started the multilingual Facts Before Rumors campaign to separate common claims seen online.[17][18][19][20]
In June 2024, she will relocate to the Max Planck Institute for Security and Privacy in Germany to become a scientific director at the
Max Planck Society. She will become the first South Korea director and second Asian female scientist to hold such a position at Max Planck.[25][26]
2016–present ACM Transactions on Social Computing[43]
Selected publications
Cha, Meeyoung; Haddadi, Hamed; Benevenuto, Fabr´ıcio; Gummadi, Krishna P. (2010).
"Measuring User Influence in Twitter: The Million Follower Fallacy". Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence. pp. 10–17.
OCLC780600252. Archived from
the original on 4 February 2020. Retrieved 20 January 2020.
Viswanath, Bimal; Mislove, Alan; Cha, Meeyoung; Gummadi, Krishna P.
"On the Evolution of User Interaction in Facebook"(PDF). Proceedings of the 2nd ACM workshop on Online social networks. 2nd ACM workshop on Online social networks. ACM. pp. 37–42. Archived from
the original(PDF) on 18 September 2017.
Benevenuto, Fabrício; Rodrigues, Tiago; Cha, Meeyoung; Almeida, Virgílio (4 November 2009).
"Characterizing User Behavior in Online Social Networks"(PDF). Proceedings of the 9th ACM SIGCOMM conference on Internet measurement. 9th ACM SIGCOMM conference on Internet measurement. ACM. pp. 49–62. Retrieved 20 January 2020.