This year’s lecture was delivered by Claire Mathieu, a former Brown CS faculty member who currently serves as research director at the Centre National de la Recherche Scientifique (CNRS) in Computer Science at Université Paris-Cité (France).
In a testament to Brown Visual Computing’s almost sixty-year tradition of research excellence and leadership, members of the Brown CS community co-authored five of the conference’s accepted papers.
Brown CS is again partnering with Google Research to offer exploreCSR: Socially-Responsible Artificial Intelligence, a semester-long immersive research experience program for undergraduate students.
Brown CS is glad to announce that applications are open for the Randy F. Pausch '82 Computer Science Undergraduate Summer Research Award, which provides $13,350 annually to support an undergraduate engaged in an intensive faculty-student summer research partnership with the Department of Computer Science.
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.
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.