Iason Krommydas
Employers on the program
- 2026Rice University3 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
- PyData
- 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 | Discovering Particles: How we analyze petabytes of particle collision data using python as Rice University At CERN's Large Hadron Collider, we collide protons at near light-speed to discover new particles and understand fundamental physics. Python is becoming the…Show lessAt CERN's Large Hadron Collider, we collide protons at near light-speed to discover new particles and understand fundamental physics. Python is becoming the primary language for analyzing this data, marking a significant evolution from the Fortran and C++ workflows of previous decades. | |
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | tutorial | Thinking in Arrays (Room HSEC 2-132) as Rice University 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. | |
| Apr 14, 2026 | PyCon DE & PyData 2026 | PyData | tutorial | Array-Oriented Programming in Python: Libraries, Techniques, and Trade-offs as Rice University Python has become the dominant language for scientific computing and data science, largely due to powerful array libraries that enable high-performance…Show lessPython has become the dominant language for scientific computing and data science, largely due to powerful array libraries that enable high-performance numerical computation. This tutorial introduces array-oriented programming as a paradigm and surveys the modern Python array ecosystem. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Henry Schreiner | 1 | 1 | 2026 |
| Jim Pivarski | 1 | 1 | 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.