Summary
John Almond is a Senior Research Associate with 12 years of experience applying advanced data analysis and machine learning to searches for beyond-the-Standard-Model physics using the CMS detector at CERN. Based at Seoul National University after a PhD from The University of Manchester, he has led a team of data scientists to develop robust analysis pipelines that bridge academic rigor with practical problem-solving. His work spans the full research lifecycle—from conceiving BSM search strategies and supervising student theses to building reproducible code and computational workflows for large-scale LHC data. Comfortable in collaborative, fast-paced environments, he brings hands-on programming expertise and a track record of mentoring and organizing outreach activities. Unusually for a particle physicist, he emphasizes translating research-grade methodologies into deployable solutions for real-world data challenges. Now based in Broughton, England, he is looking to leverage his analytical depth to create impactful, production-ready systems beyond academia.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at The University of Manchester