David Bader

David Bader is the Distinguished Professor of Data Science at New Jersey Institute of Technology (NJIT). He is a leading expert in high-performance computing, parallel algorithms, and large-scale graph analytics. His work focuses on developing scalable frameworks for big data problems, including graph processing, anomaly detection, and quantum computing methods.

He has held continuous federal grants since 2000, with recent projects involving cyber-infrastructure for community detection, streaming data science frameworks, and gravitational wave research. Bader leads the development of open-source tools like Arachne and Arkouda, which are widely used for large-scale graph analytics.

His research interests span parallel algorithms, graph theory, and high-performance computing applications. Notable contributions include the GraphBLAS initiative and the Einstein Toolkit. Bader was inducted into the Hall of Fame in 2025 for pioneering modern supercomputing innovations.