Welcome to my homepage.
I am a research scientist in the Creative Technologies Lab at Adobe Research. Before joining Adobe, I was a postdoctoral scholar at the Department of Computer Science of Stanford University, working with Jeffrey Heer. I completed my PhD in the Human-Centered Computing program at Georgia Tech in spring 2012, advised by John Stasko.
News and Travel
- DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization. To appear in UIST 2015.
- Apr 18 – Apr 23, CHI’15, Seoul, Korea
- Our paper “MatrixWave: Visual Comparison of Event Sequence Data” receives a Best of CHI Honorable Mention Award.
- Paper with colleagues from University of Toronto and Adobe accepted to CHI 2015. We contribute a novel technique for visualizing event sequence data.
- Our paper on the effects of interactive latency in visual analysis has been accepted to InfoVis’14
My research focuses on enabling effective data analysis through human-centered visualization interfaces and technologies. Despite advances in automated algorithms and systems, human judgment remains indispensable in data analysis. Visual representations of data can augment human abilities to identify patterns beyond statistical summaries, to provide flexibility in hypothesis formation, and to support domain knowledge integration in model building. In addition, visualization is an effective means for non-technical data enthusiasts to understand data and communicate insights.
The variety and volume of modern datasets and the diverse application scenarios present many challenges in providing effective, scalable, and expressive visualization technologies. My research employs multiple methods to addresses these challenges:
- designing effective visualization and interaction techniques
- building scalable and human-centric analytic systems
- studying human cognition in visual analysis processes
For details on my research work, please visit my Projects page.