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Kyrillidis’ OptimaLab is helping shape the next generation of leaders in CS and AI
Rodrigo Ferreira was a featured speaker at YES Prep’s 2024 LatinX Leadership Summit
Paper awarded for findings on reuse of regular expressions
Modeling tool APE-Gen2.0 expands peptide-MHC modeling repertoire to aid in targeted therapy development
BCM and Rice publish new computational tool for diarrheal disease classification in top clinical journal Tue, 04/16/2024 - 14:25
Taxa4Meta represents a new “best practices” approach for more accurate diagnoses
CS Professor Luay Nakhleh inducted into the AIMBE College of Fellows Mon, 03/25/2024 - 16:16
Dean of engineering recognized for his distinguished and continuing achievements in computational biology
K2I's March Member of the Month: Rodrigo Ferreira Tue, 03/19/2024 - 15:49
Assistant Teaching Professor of Computer Science
U.S.-Latin America ‘policy lab’ could leverage AI as arena for international collaboration Thu, 03/14/2024 - 16:23
CS Faculty member Rodrigo Ferreira and other Rice experts testify at National AI Advisory Committee hearing
CS senior honored for research in USB hub optimization Thu, 03/07/2024 - 18:50
Bikrant Das Sharma places first in AAAS Student E-Poster Competition
For Fulbright researchers, Rice is home away from home Mon, 03/04/2024 - 18:20
Fulbright MDS students share how EPMP nurtures their career aspirations in a culturally rich environment
Rice joins federal consortium on AI safety Wed, 02/21/2024 - 16:08
Rice CS faculty help advance safe, trustworthy AI under new U.S. Government Safety Institute
Google Chief Scientist Jeff Dean discusses AI and ML during Rice visit Wed, 02/21/2024 - 15:53
The Ken Kennedy Institute, led by Rice CS faculty member Lydia Kavraki, hosted Jeff Dean for distinguished lecture
Rice researchers find bias in healthcare data, hope to spur greater inclusion Fri, 02/09/2024 - 15:04
ML pHLA binding predictors found to favor higher-income areas
Rice CS PhD student David Quiroga wins ICRC Best Poster Award Fri, 02/09/2024 - 13:20
Paper takes novel approach to the quantum process tomography problem