I am currently a research developer at Center for Language and Speech Processing in Johns Hopkins University, where I work with Mark Dredze on Computational Social Science and Natural Language Processing. Especially, I used Geotagged Tweets to investigate how people are practicing social distancing in United States, including demographics analysis. I am also working on e cigarettes brands discovery from online forums. I graduated from Johns Hopkins University with M.S.E in Computer Science.

Previously, I have worked with Yong Deng on Complex Network, and Tao Zhou on Human Mobility.

I am applying for PhD starting at Fall 2021.

News

  • 2020-10: Our work Twitter Detects Who is Social Distancing During COVID-19 is accepted as lightning talk at NeurIPS Workshop on Machine Learning in Public Health.
  • 2020-10: Our paper The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets is accepted by JMIR.
  • 2020-07: We have released Demographer, a Python package predicts demographics characteristics on Twitter. More details can be found here.
  • 2020-04: We have released our website for Twitter Social Mobility Index. The website will be updated weekly. Please see full analysis here.