green加速器下载官网 SCHEIDEGGER BLOG COURSES CODE VIS WRITING PAPERS ABOUT CV

                  I'm an assistant professor in the Department of Computer Science at the University of Arizona. I work in large-scale data visualization and data analysis. Before coming to sunny, beautiful Tucson, I worked at AT&T Research in New York.

                  Interactive visualization is crucial in understanding, exploring, and presenting data, but data scale can present serious barriers for effectiveness and adoption. I study these barriers and design solutions to remove them. My work ranges from theoretical to express加速器; from designing solutions specifically for particular domains to designing general w加速器 for large-scale visualization.

                  Since joining UA, I have worked in a number of projects here, including support for interactive browsing of synteny data at CoGe, and building up interactive visualization infrastructure the ANTARES project. If you're interested in our work, you should also take a look at the webpage of the HDC Lab which I cofounded with my colleagues, Josh Levine and Kate Isaacs.

                  (I'm trying something different for w加速器, instead of a blog.)

                  FUNDED PROJECTS

                  My work is funded by a number of institutions, including the NSF, AT&T, and the Arizona Board of Regents.

                  STUDENTS

                  • PhD student: Rebecca Faust (expected 2021)
                  • PhD student: Mingwei Li (expected 2021)
                  • PhD student: Zhenge Zhao (expected 2021)
                  • Zhe Wang, PhD, July 2019, now research scientist at ASML

                  TRAVEL

                  green加速器下载n-Germany: ML + Vis Dagstuhl
                  oct 19-Vancouver: IEEE VIS
                  加速器-Redmond: MSR Faculty Summit
                  jun 19-Nashville: Vis EC Summer Camp
                  may 19-Calgary: SDM 2019
                  apr 19-Yale: Biostats seminar
                  mar 19-NYC: NYU Tandon
                  jan 19-Atlanta: ACM FAT* 2019
                  jan 19-Houston: rstudio::conf

                  CODE

                  SOME STUFF I MADE

                  PAPERS