Data Conference Databasea Query.Farm index
Speakers

Iason Krommydas

Employers on the program

  1. 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.

Held in the past 12 months Next 12 months Today, Nov 10, 2026

Appearances by year

201920202021202220232024202520262027
  • PyData
  • SciPy Conference (Scientific Computing with Python)

Talks

DateEventConferenceRoleTitleLinks
Jul 13, 2026SciPy 2026SciPy Conference (Scientific Computing with Python)speakerDiscovering 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 less

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 primary language for analyzing this data, marking a significant evolution from the Fortran and C++ workflows of previous decades.

Jul 13, 2026SciPy 2026SciPy Conference (Scientific Computing with Python)tutorialThinking 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 less

Installation 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, 2026PyCon DE & PyData 2026PyDatatutorialArray-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 less

Python 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

SpeakerShared eventsShared talksLast together
Henry Schreiner112026
Jim Pivarski112026

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.