Megan MonroeView profile
Academic
Megan Monroe is an Associate Teaching Professor in the Department of Computer Science at Tufts University . Her academic journey includes a Ph.D. and M.S. from the University of Maryland and a B.S. from Carnegie Mellon University . Research Interests : Monroe specializes in Visual Analytics , focusing on Temporal Data Analysis and Computational Thinking . She developed the EventFlow visualization tool used in healthcare and defense sectors. Her work bridges Artificial Intelligence , Computation Theory , and Human-Computer Interaction . Publications highlight her contributions to Interactive Visualization , Temporal Querying , and Multi-user Environments , with applications in healthcare data and machine learning debugging. Scientific Awards : Information is Beautiful Awards (2016) HCIL-Yahoo! Research Award (2013) VAST 2013 Honorable Mention Audience Choice Award at Pitch Dingman Competition (2011) Monroe’s teaching includes Computation Theory , Machine Structures & Programming , and Teaching Computer Science courses. She previously worked at IBM Research , designing tools for Watson technologies.











