FL 232
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AB Computer Science Harvard College cum laude 2001
MS Computer Science Tufts University 2007
PhD Computer Science Tufts University 2012
Postdoc Massachusetts Institute of Technology (MIT)

My research is in human-computer interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. My students and I design, build and evaluate interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. I also investigate novel paradigms for designing with accessibility in mind, particularly for the Deaf community. Much of my work also explores effective human interaction with complex and autonomous systems and vehicles. My work has applications in areas such as education, gaming, future of work, family life, transportation, and complex decision making.

Professional Highlights & Honors
Deputy Editor, 2019
International Journal of Human-Computer Studies (IJHCS)
Associate Editor, 2021
ACM Transactions on Computer-Human Interaction (TOCHI) Journal
Advisory Board, 2018
Microsoft Technical Leadership Advisory Board on Brain-Computer Interfaces
AI Business
AI Helps Neuroscientists Understand Depression Better

“Much of the work on AI right now is actually inspired by brain research and how brains work,” computer science professor Erin Solovey provided insight for this article in AI Business on how artificial intelligence is being used in neuroscience and its potential future applications.
WPI Researcher Gets $1M Grant to Develop Technology for Deaf Users

Erin Solovey, assistant professor of computer science, was featured in a Telegram & Gazette article. Solovey received a $1 million National Science Foundation (NSF) grant that could lead to significant breakthroughs in technology platforms for the ASL-signing Deaf Community.