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School of Engineering

Megan Monroe

Lecturer
Computer Science

Lecturer Megan Monroe

Megan Monroe

Lecturer
Computer Science

Phone 617-627-2225
Halligan Hall
161 College Avenue, Medford, MA
Research: 
data, visualization, language
Biography: 

Megan Monroe came to Tufts from IBM Research, where she designed and developed visual analytics tools for a wide range of Watson technologies, including client-facing interfaces, as well as visual dashboards to enable the back-end debugging of machine learning algorithms. Monroe’s doctoral work at the University of Maryland focused on the analysis of temporal, event-based records, such as electronic health records and transaction logs. The EventFlow visualization tool that she developed has been used by Washington D.C. Children’s Hospital, the U.S. Army Pharmacovigilance Center, University of Florida’s College of Medicine, and many others. Her interests cover not only a wide range of computation, but also the application of computational thinking as a general problem-solving technique.

Education: 
Ph.D., Computer Science, University of Maryland-College Park, 2014
M.S., Computer Science, University of Maryland-College Park, 2012
B.S., Computer Science, Carnegie Mellon University, 2005
Professional Experience: 
2017-present:

Lecturer, Department of Computer Science, Tufts School of Engineering

2014-2017:

Research Scientist, IBM Research

Selected Professional Activities: 
2016: Co-Organizer, The Event Event Workshop, IEEE Information Visualization Conference
2016: Reviewer, ACM Human Factors in Computing Systems
2016: Reviewer, IEEE Information Visualization Conference

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