I have just finished my Ph.D.! I was a student of Remco Chang at VALT (the Visual Analytics Laboratory at Tufts), and I defended successfully on July 20th, 2015, and now the paperwork is in and I'm done :). I'm also proud to announce that I've accepted a position: Assistant Professor at DePaul University! I have deferred my start until January 2016 because my wife and I just had our first child. I have a number of things on my plate already, but if you are interested in consulting/contracting, get in touch.
Background - in 2005 I received my B.A. from Cornell University in Computer Science and Mathematics. I worked for 5 years in industry as a software engineer before starting graduate school. For 2 years I worked on government research contracts in software security at GrammaTech in Ithaca, NY. Following that I moved to Cambridge, MA where I worked for Xcitex for 3 years on software for motion analysis in high-speed video, and developed a product line based on data collection and synchronization with high-speed video.
My work is at the intersection of visualization and machine learning. I'm interested in using interactive visualization to help users work with machine learners, and conversely using machine learning to improve visualizations of complex data. More specifically, I've been working with high-dimensional data projections and semi-supervised machine learning techniques. My published work has so-far focused on learning distance functions with domain expert input, but my further projects are focused on the more general problem of how learning models from human interactions with visualizations such that we improve analytic results with the data and learn about the users at the same time. Starting with my internship at Microsoft Research, I'm increasingly interested in the related field of Interactive Machine Learning, which uses machine learning algorithms with input based on user interactions for a wide variety of purposes.
Wang, Helen J., Moshchuk, A., Gamon, M., Haraty, M., Iqbal, S, Brown, Eli T., et al. The Activity Platform. 15th Workshop on Hot Topics in Operating Systems (HotOS XV). USENIX Association.
Eli T. Brown, Alvitta Ottley, Helen Zhao, Quan Lin, Richard Souvenir, Alex Endert, Remco Chang. Finding Waldo: Learning about Users from their Interactions. Transactions on Visualization and Computer Graphics (TVCG), 2014. (Presented at VAST 2014)
Eli T. Brown, Remco Chang. EigenSense: Saving User Effort with Active Metric Learning. KDD 2014 Workshop on Interactive Data Exploration and Analytics (IDEA).
Eli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang. Dis-Function: Learning Distance Functions Interactively. Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), 2012.
Daniel Afergan, Evan M. Peck, Erin T. Solovey, Andrew Jenkins, Samuel W. Hincks, Eli T. Brown, Remco Chang, Robert J.K. Jacob. Dynamic Difficulty Using Brain Metrics of Workload. CHI 2014, with Honorable Mention for Best Paper.
Jingjing Liu, Eli T. Brown, Remco Chang. Find Distance Function, Hide Model Inference. Poster at IEEE Conference on Visual Analytics Science and Technology, 2011.
Eli T. Brown. Presentation: Human in the Loop: Iterative, Interactive Visual Model Refinement for a workshop at the American Statistical Association's Joint Statistical Meetings