I’m a PhD student at the Informatics (ILCC), University of Edinburgh jointly supervised by Maria Wolters and Walid Magdy.
My PhD project focuses on using social media data to identify mental health symptoms and signs of mental health recovery. I combine natural language processing techniques with machine learning to discover damaging thinking pattern and reveal how social support is gained in times of stressful life events.
Before starting my PhD I obtained my master of Applied Psychology from The City University of Hong Kong in 2016 and master of Linguistics from The University of Hong Kong in 2012. From 2013 – 2016, I worked as a special needs teaching assistant in Hong Kong.
Chen, L., Cheng, C. H. K., & Gong, T. (2020). Inspecting Vulnerability to Depression from Social Media Affect. Frontiers in Psychiatry, 11, 54.
2017. Chen, L., Gong, T., Kosinski, M., Stillwell, D., & Davidson, R. L. (2017). Building a profile of subjective well-being for social media users. PloS one, 12(11), e0187278 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187278
June 2019 – Aug 2019, The Alan Turing Institute
Data Science for Social Good Summer Internship
I became an enthusiastic user of the R language when I was doing my statistics courses, because I was so frustrated by SPSS. Since then I took R courses and completed two of my research papers with R. I am also one of the core member in Hong Kong R User Group.
You can find some of my live stream talks on my YouTube Channel.