Ryan C Cooper
Employers on the program
- 2024–2026University of Connecticut3 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | speaker | Learning in the Open: Integrating Open Source Contributions into the Classroom as University of Connecticut In Fall 2025, the UConn School of Mechanical, Aerospace, and Manufacturing Engineering launched Open Source Experiences, an elective course developed in…Show lessIn Fall 2025, the UConn School of Mechanical, Aerospace, and Manufacturing Engineering launched Open Source Experiences, an elective course developed in partnership with six NumFOCUS-supported projects (napari, BiocPy, Blosc, MNE-Python, mlpack, JuliaHub). The course embedded students directly into active open source communities, where they contributed to the codebases, collaborated with... | |
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | speaker | Generative AI in Engineering Education: A Tool for Learning, Not a Replacement for Skills as University of Connecticut Generative Artificial Intelligence (AI) is reshaping engineering education by offering students new ways to engage with complex concepts and content. Ethical…Show lessGenerative Artificial Intelligence (AI) is reshaping engineering education by offering students new ways to engage with complex concepts and content. Ethical concerns including bias, intellectual property, and plagiarism make Generative AI a controversial educational tool. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | speaker | Teaching and Learning Scientific Computing in the age of ChatGPT as University of Connecticut In this talk, I will discuss learning, ethical, and legal issues when using large language models to supplement learning and practicing scientific computing.…Show lessIn this talk, I will discuss learning, ethical, and legal issues when using large language models to supplement learning and practicing scientific computing. Engineering disciplines are becoming increasingly dependent upon computational tools and resources. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Eniola Awowale | 3 | — | 2026 |
| Eric Ma | 3 | — | 2026 |
| Juanita Gomez | 3 | — | 2026 |
| Julie Hollek | 3 | — | 2026 |
| Katrina Riehl | 3 | — | 2026 |
| Leah Wasser | 3 | — | 2026 |
| Madicken | 3 | — | 2026 |
| Matthew Feickert | 3 | — | 2026 |
| Naty Clementi | 3 | — | 2026 |
| Nezar Abdennur | 3 | — | 2026 |
| Trevor Manz | 3 | — | 2026 |
| Inessa Pawson | 2 | 1 | 2026 |
| Bryce Adelstein Lelbach | 2 | — | 2026 |
| Charles Turner | 2 | — | 2026 |
| Chirag Shah | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.