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Cody Dunne
Cody Dunne is an assistant professor at Khoury College. His work, which lies at the nexus of information visualization, network science, and human–computer interaction, strives to make data and visualizations easier to analyze and share.
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Kathleen Durant
Kathleen Durant is an assistant teaching professor at Khoury College. Both in industry with Silverlink Communications and as a research fellow with Harvard Medical School, she has combined health care with computing to better support patients in their care journeys.
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Jennifer Dy
Jennifer Dy is an associate professor in the College of Engineering, with a courtesy Khoury College appointment. Her research explores machine learning, data mining, statistical pattern recognition, and computer vision.
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Laura Edelson
Laura Edelson is an assistant professor at Khoury College and former chief technologist for the US Department of Justice Antitrust Division. She studies the spread of harmful content through large online networks with the goal of making social media platforms safer and more beneficial for users.
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Ehsan Elhamifar
Ehsan Elhamifar is an associate professor at Khoury College, affiliated with the College of Engineering. The overarching goal of his research is to develop AI that learns from and makes inferences about visual data analogous to humans.
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Tina Eliassi-Rad
Tina Eliassi-Rad is the inaugural Joseph E. Aoun professor at Khoury College, as well as an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Center. Her research at the intersection of data mining, machine learning, and network science has earned her a place as a core faculty member at both Northeastern’s Network Science Institute, and the Institute for Experiential AI.
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Mai ElSherief
Mai ElSherief is an assistant professor at Khoury College. Her research strives to minimize harm and improve prosocial behavior online by detecting and mitigating biases in natural language processing systems.
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Michael Everett
Michael Everett is an assistant professor at Khoury College, jointly appointed with the College of Engineering. His research sits at the nexus of robotics, deep learning, and control theory, with the goal of developing certifiable learning machines in which robots can safely, reliably, and efficiently perform tasks.
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