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Elizabeth Campolongo edited this page May 21, 2026 · 1 revision
Name GitHub ID Institution Interests Skills
Elizabeth Campolongo ORCID egrace479 Imageomics Institute and ABC Global Climate Center, The Ohio State University Interdisciplinary Research, Imageomics, Mathematics, and Data Science; Reproducibility, reusability, and accessibility Python programming, data visualization and analysis, TDA and ML; FAIR software and data
Hilmar Lapp ORCID hlapp Duke University FAIR data and software, data and model infrastructure for ML in biology Collaborative research software engineering, technologies and best practices for automated and reproducible workflows; data and software licensing
Will Weaver ORCID Gene-Weaver Schmidt Sciences, Michigan Institute for Data and AI in Society, University of Michigan Leaves, Macroevolution, ML/AI, Computer Vision, Biodiversity Informatics Python, R, Docker, Google Cloud, LLMs

This event is sponsored by the Imageomics Institute and supported by the National Science Foundation under Awards No. OAC-2118240 and AWD-111317. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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