How can we make rich visual data analysis easier to understand for a wide audience? My current studies focus on many aspects of this question. My solutions become part of Keshif, an open-source, web-based, rich and easy-to-use faceted browsing library. Check out one of over 40 public demos using various data collections.
I work with Prof. Ben Bederson for my Ph.D. thesis studies. I am a research assistant for Teaching and Learning Transformation Center (TLTC & UMD), exploring data driven ways to improve teaching and learning. I am also a member of Human Computer Interaction Lab (HCIL) and UMIACS.
Formerly, I worked on high performance visual computing using GPUs, developed OpenREng (Open Rendering Engine for modern OpenGL), multi-resolution terrain rendering and physical deformation simulation, and general purpose programming on GPUs.
This web page is partially generated from data on GoogleDocs spreadsheet.