Daniel Gbenga Alabi

Daniel Gbenga Alabi is an Assistant Professor in the Department of Electrical and Computer Engineering and affiliated with the Coordinated Science Lab at the University of Illinois. His research focuses on privacy-preserving algorithms, statistical analysis, and global education initiatives in computing. Key areas include differentially private methods for regression analysis, quantile estimation, and participatory design for algorithms education in the Global South.

His work bridges theoretical computer science with practical applications in data privacy and education equity. Recent collaborations involve participatory design frameworks for early algorithms education and efficient methods for privacy-preserving data analysis.

Alabi's publications explore topics such as privacy budget allocation in data analysis and robust estimation techniques under differential privacy constraints. His research has been presented at venues like SIGCSE and the ACM Symposium on Theory of Computing.

He is part of the Coordinated Science Lab, a multidisciplinary research unit at the University of Illinois known for innovation in engineering and computer science. No academic awards or grants are explicitly mentioned in the provided text.