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.
My research interests include human-computer interaction (HCI), collective intelligence, visual analytics, and explainable AI. I create technologies to coordinate human and artificial intelligence on a large scale to make sense of copious data and uncover the hidden plots.
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 Informatica and Cloudera 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. I will intern at Microsoft Research in summer 2019 to continue my research in human-AI interaction.
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.