Kokil's research interests lie in examining the role of social media platforms in enabling self-presentation and social behavior. Her particular interest is in developing computational models of language for the measurement and understanding of computer-mediated communication. At CNM, she's excited about coordinating the new Data Communication specialization of the Master's in Social Science program. She's also a Principal Investigator at the NUS Centre for Trusted Internet and Community.
Before joining NUS in 2020, Kokil spent a year as a Presidential Postdoctoral fellow at Nanyang Technological University, and two years (2016-2018) as a CS postdoc at the University of Pennsylvania. She has also spent three years (2013-2016) in the industry, as a Senior Data Scientist at Adobe developing research and analytical capabilities for digital marketing tools. Her research has been published in the Proceedings of the National Academy of Sciences, Nature Human Behaviour, the Journal of Communication, Computers in Human Behavior, and Telematics and Informatics.
At NUS, Kokil works on the SMOL (Social Media, Online behavior, and Language) project.
2019/2020 Semester 1:
2020/2021 Semester 1:
2020/2021 Semester 2:
Ongoing student supervision (undergraduate dissertations):
Ongoing student projects:
Please get in touch if you're interested in working on a research project with Kokil. Here are the main directions of her work:
P.S.: I'm always happy to mentor students on their own research projects or have them join one of mine. We work on research problems with an end goal in sight, such as a conference or a grad school application deadline.
Feel free to email me; but if you are unsure about how to email a professor, there are some reasonable tips here.
Computational linguistic and deep learning approaches to analyzing online behavior, with applications for