Thakkar Shraddha
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Also affiliated: United States Food and Drug Administration (2020–2021); University of Oxford (2021); Immuneering (United States) (2020)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Shraddha Thakkar's research focuses on the orchestration and sharing of large multimodal data to support transparent and reproducible research. Her work addresses the methodologies and infrastructure needed for effective data management and collaboration in scientific endeavors. Thakkar has published on the importance of sharing data and the systems required to facilitate this process, aiming to enhance the reliability and accessibility of research findings. Her scholarship metrics include an h-index of 2, with 2 total publications and 527 total citations. Thakkar collaborates with Weida Tong at the National Center for Toxicological Research, with whom she has co-authored one publication. Her recent activity indicates continued engagement in the field.
Metrics
- h-index: 2
- Publications: 2
- Citations: 562
Selected Publications
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Orchestrating and sharing large multimodal data for transparent and reproducible research (2021)
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Transparency and reproducibility in artificial intelligence (2020)
Collaboration Network
Top Collaborators
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Transparency and reproducibility in artificial intelligence
- Transparency and reproducibility in artificial intelligence
- Transparency and reproducibility in artificial intelligence
- Transparency and reproducibility in artificial intelligence
- Transparency and reproducibility in artificial intelligence
- Transparency and reproducibility in artificial intelligence
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