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Eighth Computational and Data Science school for HEP (CoDaS-HEP 2026)

from Monday, July 13, 2026 (8:30 AM) to Friday, July 17, 2026 (2:00 PM)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
Jul 13, 2026
Jul 14, 2026
Jul 15, 2026
Jul 16, 2026
Jul 17, 2026
AM
8:30 AM --- Breakfast ---
9:00 AM Welcome and Overview - Peter Elmer (Princeton University (US))  
9:10 AM Collaborative Software Development with Git(Hub) - David Lange (Princeton University (US))  
10:30 AM --- Coffee Break ---
11:00 AM Getting connected to our compute platform - David Lange (Princeton University (US)) Peter Elmer (Princeton University (US))  
11:15 AM The Scientific Python Ecosystem - Ianna Osborne (Princeton University) Andres Rios-Tascon (Princeton University)  
8:30 AM --- Breakfast ---
9:00 AM An Introduction to Parallel Programming with OpenMP - Tim Mattson (Intel-Retired)  
11:00 AM
Group photo (until 11:10 AM)
11:10 AM --- Coffee Break ---
11:30 AM OpenMP and parallel programming beyond shared memory CPUs - Tim Mattson (Intel-Retired)  
8:30 AM --- Breakfast ---
9:00 AM Floating Point Arithmetic Is Not Real - Tim Mattson (Intel)  
10:00 AM The Use and Abuse of Random Numbers - Tim Mattson (Human Learning Group)  
11:00 AM --- Coffee Break ---
11:30 AM Performance Tuning of Scientific Software - Vassil Vasilev (Princeton University (US))  
8:30 AM --- Breakfast ---
9:00 AM Machine Learning - Advanced neural net models - Liv Helen Vage (Princeton University (US)) Michelle Kuchera (Davidson College)  
10:30 AM --- Coffee Break ---
11:00 AM Machine Learning - Liv Helen Vage (Princeton University (US)) Michelle Kuchera (Davidson College)  
8:30 AM --- Breakfast ---
9:00 AM You are qualified to be teachers! - Sudhir Malik (University of Puerto Rico (US))  
9:10 AM Machine Learning Wrapup - Liv Helen Vage (Princeton University (US)) Michelle Kuchera (Davidson College)  
10:10 AM You're the Client Now: Rapid Unscheduled Prototyping with AI Coding Tools - Mattie Niznik (Princeton University)  
11:00 AM --- Coffee Break ---
11:30 AM Closing Session  
PM
12:30 PM --- Lunch ---
1:30 PM What Every Computational Physicist Should Know About Computer Architecture - David Lange (Princeton University (US))  
2:30 PM The Scientific Python Ecosystem - Andres Rios-Tascon (Princeton University) Ianna Osborne (Princeton University)  
3:30 PM --- Coffee Break ---
4:00 PM The Scientific Python Ecosystem - Andres Rios-Tascon (Princeton University) Ianna Osborne (Princeton University)  
6:00 PM --- Welcome Reception - D301, Commons (near Briger Hall), Ivy Lane ---
1:00 PM --- Lunch ---
2:00 PM Introduction to Machine Learning - Liv Helen Vage (Princeton University (US)) Michelle Kuchera (Davidson College)  
3:30 PM --- Coffee Break ---
4:00 PM Machine learning - Neural networks & Kaggle - Michelle Kuchera (Davidson College) Liv Helen Vage (Princeton University (US))  
6:30 PM --- Reception - Prospect House ---
12:15 PM Introduction to Automatic Differentiation and Differentiable Programming - Vassil Vasilev (Princeton University (US))  
1:00 PM --- Lunch ---
2:00 PM Columnar Data Analysis - Tai Sakuma (Princeton University) Andres Rios-Tascon (Princeton University)  
3:30 PM --- Coffee Break ---
4:00 PM Columnar Data Analysis - Andres Rios-Tascon (Princeton University) Tai Sakuma (Princeton University)  
7:00 PM --- Dinner on your own ---
12:00 PM GPU Programming - Brij Kishor Jashal (Rutherford Appleton Laboratory)  
1:00 PM --- Lunch ---
2:00 PM GPU Programming - Brij Kishor Jashal (Rutherford Appleton Laboratory)  
4:00 PM --- Coffee Break ---
4:30 PM GPU Programming - Brij Kishor Jashal (Rutherford Appleton Laboratory)  
6:30 PM --- BBQ and Drinks - Palmer House ---