I am a research scientist on the Computational Social Science Team, working to build a better social media platform and a more sustainable society by compiling data, building models, and providing actionable insights.
I developed the Climate Conversation Map, which marries Data Science research, computing power and aggregated, anonymized platform data to summarize and map the prevalence of climate conversations. It is highlighted in Facebook Newsroom and Sustainability Report.
I also worked on unsupervised ML models to detect coordinated online operation on the platform, used to take down abusive users either financially or politically motivated.
Prior to Facebook, I worked as a data scientist at Uber to deliver insight of the rideshare market for marketing, finance, and other strategic business decisions. I got my PhD at UC Berkeley in 2014.
Social issues, climate change, machine learning, and natural language processing