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Professional photo of Mohamed Elashri

Mohamed Elashri

PhD Candidate

University of Cincinnati

News

  • Nov 2025 Attended 1st PhyStat School of Statistics - Nooitgedacht, Netherlands
  • Nov 2025 Presented my work at Connecting The Dots 2025 - Tokyo, Japan
  • Oct 2025 Attended 2025 IRIS-HEP Retreat - Saint Gervais, France
  • Sep 2025 Presented my work at 2025 Fast Machine Learning Workshop - Zurich, Switzerland
  • Sep 2025 My First time as LHCb Shift Leader - Geneva, Switzerland
  • Aug 2025 My First time at LHCb Control Room - Geneva, Switzerland
  • Feb 2025 Moved to Geneva (Based at CERN now)
  • Dec 2023 Attended 2nd COFI School - San Juan, Puerto Rico, USA
  • May 2023 Passed UC PhD Oral Exam for PhD Candidacy - Cincinnati, USA
  • Aug 2022 Attended CoDaS-HEP 2022 - Princeton, USA
  • Sep 2022 Joined IRIS-HEP as a Research Assistant - Cincinnati, USA
  • Jul 2022 Joined LHCb Collaboration - Geneva, Switzerland

About

I am a passionate doctoral candidate in physics at the University of Cincinnati, deeply engaged in the LHCb experiment at CERN. My research is at the forefront of flavor physics, with a particular focus on B meson physics. Prior to this, I earned my Master’s degree at the University of Minnesota, where I delved into the enigmatic domain of Magnetic Monopoles. This elusive particle, steeped in human curiosity since antiquity, remains a puzzle yet to be solved. During my Master’s, I was also involved in the NOvA experiment at Fermilab.

Currently, I'm working on rare decay studies of B meson physics and LHCb trigger development. I'm working on developing the infrastructure of integrating Machine Learning inference engines inside the LHCb data processing framework called Allen. I'm also part of IRIS-HEP initiative, which aims to develop and deploy sustainable software and services for the high-energy physics community with focus on LHC HL era.

More about my digital footprint can be found via this page digital footprint.

Use the menu at the top to navigate between publications, talks, etc.

Interests

  • Particle Physics
  • Hardware & Electronics
  • Machine Learning
  • Scientific Computing

Education

  • PhD in Particle Physics, 2026

    Univerity of Cincinnati

  • MA in Particle Physics, 2020

    University of Cincinnati

  • BA in Physics, 2018

    Zewail University