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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The Connecting the Dots workshop brings track reconstruction experts together with other machine-learning specialists.

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Cranmer aims to foster collaboration between scientific disciplines while addressing machine learning’s impacts on society’s most vulnerable members.

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Irina Espejo, a New York University PhD candidate in data science and IRIS-HEP member, continually seeks to answer science’s most fundamental questions.

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The particle physicist and IRIS-HEP executive board member describes the center’s mission as “translating innovation into practice”

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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.
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