I am seeking a tenure-track faculty or industry research position. Please contact me at tianyili[at]vt[dot]edu.
I’m a PhD candidate in Computer Science at Virginia Tech. I work with Dr. Chris North and Dr. Kurt Luther on creating new technologies to support complex sensemaking. I'm a member of the InfoVis Lab and the Crowd Intelligence Lab, and affiliated with the Discovery Analytics Center and the Center for Human-Computer Interaction.
I design and develop systems for computer-supported cooperative work, specifically, crowdsourced sensemaking, to scaffold collective intelligence of novice crowds for tasks such as intelligence analysis. I also conduct research and devise visual analytics tools with user-centered design to combine and coordinate human and artificial intelligence in broader, real-world sensemaking processes such as data security and machine learning. Throughout my work, I investigate and evaluate the UX impact of different human-AI interaction patterns.
My dissertation work explores the analytical potential of the crowd -- that is, how to modularize the complex sensemaking processes to support scalable and credible analysis on large text data. Drawing on my training in Computer Science and HCI, I build and evaluate tools to support crowdsourced sensemaking, and combine quantitative and qualitative methods to study crowd performance in sensemaking tasks, probing how they succeed or fail.
I interned at Microsoft Research AI, Cloudera, and Informatica during my graduate studies. These industry research experience expand my research interests to explore the role of artificial intelligence (AI) in sensemaking processes and beyond.
Prior to VT, I studied Computer Science and received my bachelor's degree from the University of Hong Kong in 2015. I also studied at UC San Diego and Shanghai Jiao Tong University as an exchange student.