Bio

Hi, this is a website profiling my research and publications. I can be contacted at lastname [at] nus.edu.sg. The postings on this site are my own and do not necessarily represent the position, strategy or opinions of the Department of Communications and New Media of the National University of Singapore.

I am a Principal Investigator at the NUS Centre for Trusted Internet and Community, and an Assistant Professor in Computational Communication at the National University of Singapore. I started the Social Media, Online behavior and Language (SMOL) project at NUS. My recent work has involved (a) building computational models of language to understand affect and discussion quality in online communication, (b) auditing social media platform design for bias, and (c) experimenting with social media platform design features to improve the health of online communication.

I publish mainly in CS conferences with a computational social science track (ICWSM, WebSci, EMNLP and the ilk), in general science journals (Proceedings of the National Academy of Sciences, Nature Human Behaviour) and in communication research journals (notably Journal of Communication, Computers in Human Behavior, and Telematics and Informatics). At NUS, I will be teaching the core module on big data in communication in the forthcoming semester as a part of a new Master’s in Data Communication degree. I also regularly teach a course on social media and one on computational media literacy.

I’m one of the three Virtual Chairs of ICWSM-21. Every year, I organize the Affective Content Analysis workshop @ AAAI and its Shared Task. In 2020,  I organized a Shared Task on Interactional Affect (The OffMyChest Shared Task) at the third Affective Content Analysis workshop @ AAAI in Feb 2020 together with Adobe and the University of Pennsylvania. In 2019, we organized a “pursuit of happiness”, quite literally, in the form of another language modeling task.

Before joining NUS, I spent a year as a Presidential postdoctoral fellow at Nanyang Technological University in 2018. I also spent two glorious years as a postdoc at the University of Pennsylvania, working with Prof. Lyle Ungar as a part of the World Wellbeing Project. In what seems to be a previous life, I was a Data Scientist at Adobe between Nov 2013 – Sep 2016 on research technologies for the Adobe Marketing Cloud. I am a co-inventor on nine patents which are awarded or under review at the US PTO.

My older projects and workshops were mainly in the area of scientific summarization — notably my PhD thesis, which was titled, “A Literature Review Framework for Multi-document Summarization of Research Papers”. Until recently, I was the coordinator of CL-SciSumm, a scientific summarization data challenge, and the NLPIR4DL workshop series, which was held as the BIRNDL workshop at JCDL 2016, SIGIR 2017 and SIGIR 2018.

My academic idols are (in alphabetical order of first names) Dr. Jamie Pennebaker, Dr. Lyle Ungar, Dr. Karen Sparck-Jones, Dr. Min-Yen Kan, Dr. Sandra Gonzalez-Bailon, Dr. Simone Teufel, and Dr. Yphtach Lelkes. I think all good researchers are excellent story-tellers, but some of them are also fabulous teachers. It’s my goal to try to be both. Thanks for visiting my website!

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