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I am Gleb Lukicov, a machine learning engineer with a passion for MLOps. Visit my homepage to read about my PhD research and ML projects. When I am not de-bugging my code, I am actively engaged in the MLOps Community London as a co-host, 📝 tech blogging, or 🚴‍♂️ road cycling. You can contact me for collaborations ideas or questions on LinkedIn.

The project repositories below contain some of the analysis code used in my PhD thesis and personal ML projects:

The Muon g − 2 experiment at Fermilab, near Chicago, discovered a tantalising sign of New Physics (a new force of nature!). This was done by measuring a deviation between the experimental and theoretically predicted value of the muon magnetic anomaly. As part of my PhD, I collaborated on the experiment with 200 scientists and engineers.

This project contains analysis code to measure the Electric Dipole Moment (EDM) of the muon using the tracking detectors. The oscillation in the number of the observed tracks in the detector can be plotted and fitted, as shown below

This project contains code and plotting scripts for the internal alignment (calibration) of the tracking detector. The alignment procedure aims to establish the corrections to the assumed detector position, and hence, minimise the residuals. This minimisation of the residuals is a statistical problem, involving the optimisation of the p-values (i.e. track quality) of fitted tracks in data.

This work led to a publication (arXiv:1909.12900): https://arxiv.org/pdf/1909.12900.pdf, where alignment results with data are discussed.

Alignment software infrastructure is shown below

I wrote a practical guide on setting a personal GPU server for Machine Learning with Ubuntu 20.04 avaialbe on the Towards Data Science (TDS) website.