Ravi Madduri - Argonne National Laboratory

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Bio

Ravi Madduri is a computational scientist in the Mathematics and Computer Science division at Argonne National Laboratory and a senior fellow at the Computation Institute, University of Chicago. His research interests are in large-scale computation and data management. He leads the Globus Genomics project (www.globus.org/genomics), which is widely used for genomics, proteomics, and other biomedical computations on Amazon cloud and other platforms. Contact him at madduri@mcs.anl.gov.

Research Interests

Papers共 131 篇Author StatisticsCo-AuthorSimilar Experts

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Genome-wide Association Study of Prostate-Specific Antigen Levels in 392,522 Men Identifies New Loci and Improves Cross-Ancestry Prediction

Nature genetics（2025）

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Evaluating Multi-Ancestry Genome-Wide Association Methods: Statistical Power, Population Structure, and Practical Implications

Julie-Alexia Dias, Tony Chen,Hua Xing,Xiaoyu Wang,Alex A Rodriguez,Ravi K Madduri,Peter Kraft, Haoyu Zhang

medRxiv the preprint server for health sciences (2025)

Cited0Views0WOSBibtex

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

Kaveen Hiniduma, Zilinghan Li, Aditya Sinha,Ravi Madduri, Suren Byna

arxiv（2025）

Cited0Views0Bibtex

Benchmarking Accelerated Next-Generation Sequencing Analysis Pipelines

Pubudu Saneth Samarakoon, Ghislain Fournous, Lars T Hansen, Ashen Wijesiri,Sen Zhao, Rodriguez Alex A, Tarak Nath Nandi,Ravi Madduri, Alexander D Rowe, Gard Thomassen,Eivind Hovig, Sabry Razick

Bioinformatics advancesno. 1 (2025): vbaf085-vbaf085

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Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

Trung-Hieu Hoang,Jordan Fuhrman,Ravi Madduri, Miao Li,Pranshu Chaturvedi,Zilinghan Li,Kibaek Kim,Minseok Ryu,Ryan Chard,E. A. Huerta,Maryellen Giger

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2025): 29-39

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FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud

Aditya Sinha, Zilinghan Li, Tingkai Liu,Volodymyr Kindratenko,Kibaek Kim,Ravi Madduri

arxiv（2025）

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Scpredixcan Integrates Advances in Deep Learning and Single-Cell Data into a Powerful Cell-Type–specific Transcriptome-Wide Association Study Framework

Yichao Zhou,Temidayo Adeluwa,Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner,Hyunki Kim,Saideep Gona,Festus Nyasimi,Rohit Kulkarni, Joseph Powell,Ravi Madduri,Boxiang Liu,Mengjie Chen,Hae Kyung Im

bioRxiv the preprint server for biology (2025)

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Scpredixcan Integrates Deep Learning Methods and Single-Cell Data into a Cell-Type-specific Transcriptome-Wide Association Study Framework

Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Saideep Gona,Festus Nyasimi,Rohit Kulkarni,Joseph E Powell,Ravi Madduri,Boxiang Liu,Mengjie Chen,Hae Kyung Im

Cell genomicsno. 5 (2025): 100875-100875

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Accelerating Genome- and Phenome-Wide Association Studies Using GPUs – A Case Study Using Data from the Million Veteran Program

bioRxiv the preprint server for biology (2024)

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Rapid Long-Range Linkage Disequilibrium Calculations at Biobank Scale Using GPU Acceleration

Rachit Kumar,Pankhuri Singhal, Chris Carson,Mitchell Conery,Alex Rodriguez,Tarak Nath Nandi,Marylyn D. Ritchie, Mathialakan Thavappiragasm,Ravi K. Madduri,Benjamin F. Voight,Anurag Verma

GENETIC EPIDEMIOLOGYno. 7 (2024): 365-365

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