Summary
Mikael Mieskolainen is a Research Fellow at CERN with nine years of experience at the intersection of AI and high-energy physics, currently contributing to Future Circular Collider studies. He previously held the Eric and Wendy Schmidt AI in Science Fellowship at Imperial College London and has deep CMS, ALICE and MOEDAL experiment experience. Mikael combines a PhD in Elementary Particle Physics (with highest honors) and signal-processing expertise to develop data-driven methods for particle physics and collider-scale challenges. His work blends advanced machine learning with hands-on detector and algorithmic development, reflecting a track record of cross-institutional collaborations across Helsinki, Imperial, and CERN. Known for translating fundamental physics questions into scalable computational tools, he brings both academic rigor and practical engineering to large, international science projects. An unspoken strength is his sustained ability to move between detailed algorithmic research and the experimental realities of multi-experiment CERN collaborations.
9 years of coding experience
11 years of employment as a software developer
Master's Studies (Erasmus+), Elementary Particle Physics (High Energy Physics), Master's Studies (Erasmus+), Elementary Particle Physics (High Energy Physics) at Eidgenössische Technische Hochschule Zürich
Master's Degree, Signal Processing, Elementary Particle Physics (High Energy Physics), with Distinction (Highest Honors), Master's Degree, Signal Processing, Elementary Particle Physics (High Energy Physics), with Distinction (Highest Honors) at Tampere University of Technology
Doctor of Philosophy (Ph.D.), Elementary Particle Physics (High Energy Physics), with Distinction (Highest Honors), Doctor of Philosophy (Ph.D.), Elementary Particle Physics (High Energy Physics), with Distinction (Highest Honors) at University of Helsinki
English, Finnish, Swedish