Research Interests: Information Visualization, Visual Analytics, & Human-Computer Interaction Recent talks: VAST 2014, EHRVis Workshop 2014, EuroVis 2014, Invited Talk at Rutgers University (June 2014) Career timeline: |
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I am a Research Assistant Professor at the NYU Polytechnic School of Engineering, working with Prof. Enrico Bertini and Prof. Claudio Silva on visualization and visual analytics related research projects. Previously, I was a Postdoctoral Research Fellow working on projects related to climate data visualization and high-dimensional data analysis as part of the NSF funded DataONE initiative at NYU. My research interests lie at the cross-cutting areas of information visualization, visual analytics and human-computer interaction. In particular, I am interested in leveraging perceptually motivated models and designs for building exploratory visual analysis technques and systems that help domain experts make data-driven decisions. |
Multifaceted, High-dimensional Data. new j8 VIMTEX: A Visualization Interface for Multivariate, Time-Varying Geological Data Exploration, Computer Graphics Forum (EuroVis) 2015, in publication paper j6 Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling, IEEE Transactions on Visualization and Computer Graphics (VAST) 2014 paper j5 SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data, vol. 33, Issue 3, pp. 341-350, Computer Graphics Forum (EuroVis) 2014. paper j1 Pargnostics: Screen-Space Metrics for Parallel Coordinates, IEEE Transactions on Visualization and Computer Graphics, (InfoVis) 2010, vol. 16, no. 6, pp. 1017-1026 paper c1 Meta Parallel Coordinates For Visualizing Features in Large, High-Dimensional, Time-Varying Data, IEEE Symposium on Large Data Analysis and Visualization, pp. 85-89, 2012. paper |
new j7 Bridging Theory With Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison, in publication, IEEE Transactions of Visualization and Computer Graphics, 2015. paper j3 Conceptualizing Visual Uncertainty in Parallel Coordinates, Computer Graphics Forum, (EuroVis), vol. 31, no. 3pt2, pp. 1015-1024, 2012. paper c2 The Importance of Tracing Data Through the Visualization Pipeline, Beyond Time and Errors-Novel Evaluation Methods for Visualization (BELIV), 2012. paper c3 The Need for Information Loss Metrics in Visualization, Workshop on The Role of Theory in Information Visualization, VisWeek 2010. paper |
new c4 Opportunities and Challenges for Privacy-Preserving Visualization of Electronic Health Record Data, In Proceedings, IEEE VIS 2014 Workshop Electronic Health Records Visualization paper j4 Measuring Privacy and Utility in Privacy-Preserving Visualization”, Computer Graphics Forum, vol. 32, no.8, pp. 35-47, 2013. paper j2 Adaptive Privacy-Preserving Visualization Using Parallel Coordinates, IEEE Transactions on Visualization and Computer Graphics, (InfoVis), vol. 17, no. 7, pp. 2241-2248, 2011. paper c5 Privacy-Preserving Data Visualization Using Parallel Coordinates, In Proceedings, Visualization and Data Analysis, vol. 7868 pp. 78680O-1-78680O-12, 2011. paper |