Madduri Lab

Ravi Madduri is a Senior Scientist and Group Leader at Argonne National Laboratory, Senior Scientist in the Department of Human Genetics at the University of Chicago, Adjunct Clinical Assistant Professor in the Department of Bioengineering at UIUC, Research Scientist at the Department of Veterans Affairs Jesse Brown Medical Center, and Senior Fellow at the George Crabtree Institute for Discovery and Sustainability at UIC. His work focuses on developing scalable solutions for large-scale scientific computing, with emphasis on privacy-preserving federated learning, GPU-accelerated genomics, and AI-driven biomedical research.

His research spans multiple domains:

• High-Performance Computing: Development of distributed systems and data infrastructure for scientific applications
• Privacy-Preserving AI: Building federated learning frameworks for collaborative biomedical research
• Computational Genomics: GPU-accelerated analysis of large-scale genomic and transcriptomic data
• Scientific Workflows: Creating reproducible pipelines for biomedical and scientific computing

Madduri has published over 150 papers in leading journals and conferences, contributing to foundational advances in computational infrastructure, bioinformatics, and AI applications for healthcare. His work on frameworks like APPFL and MapperTrac enables privacy-preserving collaboration across institutions while maintaining high-performance capabilities.

Current research interests include scaling AI models for biomedical applications, developing privacy-preserving methods for cross-institutional collaboration, and optimizing computational infrastructure for next-generation scientific discovery.