Computational and data science research to enable discoveries in fundamental physics

IRIS-HEP is a software institute funded by the National Science Foundation. It aims to develop the state-of-the-art software cyberinfrastructure required for the challenges of data intensive scientific research at the High Luminosity Large Hadron Collider (HL-LHC) at CERN, and other planned HEP experiments of the 2020’s. These facilities are discovery machines which aim to understand the fundamental building blocks of nature and their interactions. Full Overview

News and Featured Stories:

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“IRIS-HEP received funding from the Office of Advanced Cyberinfrastructure and the Physics Division at the National Science Foundation for five years.”

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“Ukrainia students escape the war and pursue research at the Large Hadron Collider (LHC), under supervision from Princeton University faculty.”

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For the fifth year, a group of high energy physicists ranging from undergraduates to post-doctoral researchers traveled to the Princeton University campus this summer to participate in the Computational and Data Science for High Energy Physics, or CoDaS-HEP.

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Some recent IRIS-HEP fellows on what they learned during their time with the software collaboration, what they’re up to now, and why they’d recommend the IRIS-HEP fellowship to other up and coming researchers in the field.

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IRIS-HEP Fellows

The IRIS-HEP Fellows program provides funding support for selected individuals to spend several months working closely with a mentor on an HEP software R&D topic relevant to the Institute. Find out more about opportunities with the IRIS-HEP Fellows program. Current fellows include:
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Giedrius Juškevičius
Vilnius University

Jul – Sep, 2024

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Maxym Naumchyk
Igor Sikorsky Kyiv Polytechnic Institute

Jul – Aug, 2022
Jun – Sep, 2023
Jul – Sep, 2024

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Yana Holoborodko
Ukrainian Catholic University

Jul – Sep, 2024

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Artem Havryliuk
Kyiv Academic University

Jun – Sep, 2022
Jun – Sep, 2023
Jul – Oct, 2024

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Oleksii Hrechykha
Kyiv Academic University

Jul – Sep, 2024

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Yurii Perets
Taras Shevchenko National University of Kyiv

Jul – Sep, 2024

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Vladyslav Yankovskyi
Taras Shevchenko National University of Kyiv

Jul – Sep, 2024

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Nishank Gite
University of California, Berkeley

Jun – Sep, 2024

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Volodymyr Kovalenko
Taras Shevchenko National University of Kyiv

Jun – Sep, 2024

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Camille Sicat
University of California San Diego

Jun – Sep, 2024

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Oleksandr Shelestiuk
The University of Manchester

Jun – Sep, 2024

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Viktoriia Tarasenko
Igor Sikorsky Kyiv Polytechnic Institute

Jun – Sep, 2024

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Andriichuk Maksym
Julius-Maximilians-Universität Würzburg

Jun – Sep, 2024

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Mykhailo Varvarin
Kyiv Academic University

Jun – Sep, 2024

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Dmytro Belytskyi
Taras Shevchenko National University of Kyiv

Jun – Aug, 2024

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Samuel Ferraro
Brown University

Jun – Aug, 2024

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Denys Kleots
Taras Shevchenko National University of Kyiv

Jun – Aug, 2024

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Andrii Len
Taras Shevchenko National University of Kyiv

Jun – Sep, 2022
Jul – Sep, 2023
Jun – Aug, 2024

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Con Muangkod
University of Colorado Boulder

Jun – Aug, 2024

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Lev Pambuk
Odesa National University of Technology

Jun – Sep, 2023
Jun – Aug, 2024

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Sara Shinde
University of Cincinnati

Jun – Aug, 2024

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Valerii Kholoimov
Taras Shevchenko National University of Kyiv

Jun – Sep, 2023
Jun – Aug, 2024

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Alexander Christoph Schmidt
University of Texas at Austin

May – Aug, 2024

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Jordan Science Ashley
University of Tennessee, Knoxville

May – Aug, 2024

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Sam Kelson
Brandeis University

May – Aug, 2024

View all former Fellows