About me

I am a PhD Candidate of computer science with the Systopia Lab at The University of British Columbia and an Adjunct Assistant Professor at Madonna University. My research interests include data provenance and computational reproducibility. I am currently exploring methods that make reproducibility more accessible for research programmers by using data provenance from different sources. I also dabble in evaluating how users can interact with and comprehend provenance data. I have previously worked on provenance-based debuggers, nano-satellite computer systems, geospatial public health analyses, and bringing technology to theater.

Education

• Ph.D in Computer Science, The University of British Columbia, 202X (expected)
• M.S. in Computer Science, The University of British Columbia, 2021
• B.A. in Computer Science, Environmental Science, and Geospatial Science, Carthage College, 2019

Recent Publications

• Nichole Boufford, Joseph Wonsil, Adam Pocock, Jack Sullivan, Margo Seltzer, Thomas Pasquier, "Computational Experiment Comprehension Using Provenance Summarization." In the proceedings of Proceedings of the 2024 ACM Conference on Reproducibility and Replicability, 2024. View Paper

• Joseph Wonsil, Jack Sullivan, Margo Seltzer, Adam Pocock, "Integrated Reproducibility with Self-describing Machine Learning Models." In the proceedings of Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023. View Paper

• Barbara Lerner, Emery Boose, Orenna Brand, Aaron Ellison, Elizabeth Fong, Matthew Lau, Khanh Ngo, Thomas Pasquier, Luis Perez, Margo Seltzer, Rose Sheehan, Joseph Wonsil, "Making Provenance Work for You." The R Journal, 2023. View Paper