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个人简介
Dr. Line Pouchard is a Staff Scientist who has led multiple inter-disciplinary teams to create new approaches for data management, curation, and discovery for over 20 years. Her current research focuses on provenance in workflows at scale, computational reproducibility, and enabling explainable and interpretable AI, applied to domains of interest to the DOE, including Extreme Scale Computing and Scientific User Facilities.
研究兴趣
论文共 91 篇作者统计合作学者相似作者
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ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering (2023)
Rafael Ferreira da Silva,Rosa M. Badia,Venkat Bala, Debbie Bard,Peer-Timo Bremer, Ian Buckley,Silvina Caino-Lores,Kyle Chard,Carole Goble,Shantenu Jha,Daniel S. Katz, Daniel Laney,
CoRR (2023)
Luanzheng Guo,Jay Lofstead,Jie Ren,Ignacio Laguna,Gokcen Kestor,Line Pouchard, Dossay Oryspayev,Hyeran Jeon
ISC Workshopspp.221-233, (2023)
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Bogdan Nicolae,Tanzima Z. Islam,Robert Ross, Huub Van Dam,Kevin Assogba,Polina Shpilker,Mikhail Titov,Matteo Turilli, Tianle Wang,Ozgur O. Kilic,Shantenu Jha,Line C. Pouchard
2023 IEEE 19th International Conference on e-Science (e-Science)pp.1-7, (2023)
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Research Ideas and Outcomes (2022): 1-5
Ishan Abhinit, Emily K. Adams,Khairul Alam, Brian Chase,Ewa Deelman,Lev Gorenstein,Stephen Hudson,Tanzima Islam,Jeffrey Larson,Geoffrey Lentner,Anirban Mandal,John-Luke Navarro,
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)pp.84-92, (2022)
Computing in Science & Engineeringno. 5 (2021): 55-60
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