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Currently a Director of Research at the Centre national de la recherche scientifique (CNRS), Claire's lecture ("Stable matchings in theory and practice: the example of French college admissions") will be the latest in a series honoring an esteemed member of the Brown CS faculty who retired a decade ago.

In a new article, The Brown Daily Herald talks to Brown CS faculty member Ellie Pavlick about Brown's new AI Research Institute on Interaction for AI Assistants (ARIA), funded by a $20 million grant from the National Science Foundation to study human-artificial intelligence interactions and mental health. 

A new imaging technique turns motion blur into an advantage, using a jiggling camera and a clever algorithm to create super-resolution images sharper than would be possible with a steady camera.

Michael is working with colleagues to develop guidance for using AI in the classroom, looking for new opportunities in AI-enabled research and identifying how AI might help the University run even more effectively.

The program, first of its kind worldwide, aims to enable these young scientists to conduct high-quality, policy-informed AI research, to empower them to advocate for new AI policies or changes to existing policy, and to build a pipeline of qualified technologists to fill emerging needs in government.

“We don’t have a robust theory of humans,” Will Crichton says. But he’s working on it. Formerly a Brown CS postdoctoral researcher advised by Shriram Krishnamurthi, he returns to the Department this fall as assistant professor. He’s one of two recent hires in the multi-year CS With Impact campaign, our largest expansion to date.

This fall, she joins Brown CS as associate professor within a year of receiving a Sloan Research Fellowship, an NSF CAREER Award, and the ACM SIGGRAPH Significant New Researcher Award, as well as being named to MIT’s 35 Under 35.

New research (“Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners”) co-authored by Brown CS faculty member Serena Booth has received the conference’s Outstanding Paper Award for Emerging Topics in Reinforcement Learning. 

CNTR PhD student Rui-Jie Yew and faculty collaborators Suresh Venkatasubramanian and Jeff Huang received a Best Paper Award at the 2025 ACM Designing Interactive Systems (DSI) Conference for their paper "Copyrighting Generative AI Co-Creations."

Only weeks after earning the ECOOP Distinguished Paper and Distinguished Artifact Awards for work in formal methods visualization, Brown PLT has won an International Conference on Computer-Aided Verification (CAV) Distinguished Paper Award for a new misconception-based automated Linear Temporal Logic tutoring system.