Jim Pivarski
Employers on the program
- 2022Princeton University2 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)
- The Data Thread
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | speaker | From LiDAR to action: detecting upland gullies to combat erosion and forest firesUChicago's Data Science Institute (DSI) partners with 11th Hour Project to turn data insights into action. In this talk, I'll focus on our collaboration with…Show lessUChicago's Data Science Institute (DSI) partners with 11th Hour Project to turn data insights into action. In this talk, I'll focus on our collaboration with Occidental Arts & Ecology Center (OAEC)'s Fuels to Flows program, which stabilizes upland waterways by adding brushwood that would otherwise fuel forest fires. | |
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | tutorial | Thinking in Arrays (Room HSEC 2-132)Installation Instructions: https://github.com/ikrommyd/2026-07-14-scipy2026-tutorial-thinking-in-arrays Please do the setup before the tutorial. Python has…Show lessInstallation Instructions: https://github.com/ikrommyd/2026-07-14-scipy2026-tutorial-thinking-in-arrays Please do the setup before the tutorial. Python has become the dominant language in scientific computing, even in domains that demand high performance. | |
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | tutorial | Thinking in arraysDespite its reputation for being slow, Python is the leading language of scientific computing, which generally needs large-scale (fast) computations. This is…Show lessDespite its reputation for being slow, Python is the leading language of scientific computing, which generally needs large-scale (fast) computations. This is because most scientific problems can be split into "metadata bookkeeping" and "number crunching," where the latter is performed by array-oriented (vectorized) calls into precompiled routines. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | tutorial | Thinking in arraysDespite its reputation for being slow, Python is the leading language of scientific computing, which generally needs large-scale (fast) computations. This is…Show lessDespite its reputation for being slow, Python is the leading language of scientific computing, which generally needs large-scale (fast) computations. This is because most scientific problems can be split into "metadata bookkeeping" and "number crunching," where the latter is performed by array-oriented (vectorized) calls into precompiled routines. | |
| Jul 11, 2022 | SciPy 2022 | SciPy Conference (Scientific Computing with Python) | tutorial | Loopy and unloopy programming techniques as Princeton University | |
| Jun 23, 2022 | The Data Thread 2022 | The Data Thread | featured | Untitled as Princeton University |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Juanita Gomez | 4 | — | 2026 |
| Naty Clementi | 4 | — | 2026 |
| David Nicholson | 3 | — | 2026 |
| Eric Ma | 3 | — | 2026 |
| Ian Hunt-Isaak | 3 | — | 2026 |
| Inessa Pawson | 3 | — | 2026 |
| Jacob Tomlinson | 3 | — | 2026 |
| James A. Bednar | 3 | — | 2026 |
| Jarrod Millman | 3 | — | 2026 |
| Madicken | 3 | — | 2026 |
| Roni Kobrosly | 3 | — | 2026 |
| Alexander Kaszynski | 3 | — | 2025 |
| Bane Sullivan | 3 | — | 2025 |
| Deepak Cherian | 3 | — | 2025 |
| Hugo Bowne-Anderson | 3 | — | 2025 |
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.