Matteo Migliorini
Experienced Project Graduate
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolMatteo Migliorini is an experienced engineer blending physics-rooted research with hands-on firmware and software development for high-throughput data acquisition systems. With nine years of experience at CERN and INFN, he designs and optimizes Phase-2 CMS Level-1 Trigger scouting pipelines that process hardware-reconstructed objects at 40 MHz, spanning FPGA firmware, real-time servers, and Kubernetes orchestration. His PhD work and contributions to the widely used CMS Offline Software (cmssw) include building new DAQ source models, multi-source merging, and initial unpackers for L1 scouting formats—demonstrating deep expertise in data integration and streaming at collider scale. Matteo explores novel data transport and acceleration technologies (RoCEv2, AI Engines, hardware accelerators) to push latency and throughput boundaries. He pairs strong academic credentials (PhD in Physics, MSc in Data Science with top honors) with practical deployment experience in ML-on-FPGA and large-scale distributed training. Less obvious: he routinely operates at the intersection of experiment firmware and backend software, making him adept at translating hardware constraints into robust, production-ready data pipelines.
9 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Università degli Studi di Padova
Github Skills (11)
experiment10
data-structures10
cms10
c-language10
cpp10
cprogramming-language10
cplus10
data-structure10
data-processing10
cer9
algorithms9
Programming languages (6)
Github contributions (5)
cms-sw/cmssw
Jan 2023 - Jul 2024
CMS Offline Software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 reviews, 7 PRs, 25 comments in 1 year 6 months
Contributions summary:Matteo implemented a new DAQ source model for Run3 L1Trigger scouting data, integrating and merging data from multiple sources. They modified existing components like EvFDaqDirector to support multiple data sources and added a new data format (SRDCollection) for the scouting data. They also worked on data structure for orbit collection. Furthermore, the user renamed L1 scouting raw data data formats and created initial unpackers for uGMT and CaloL2 data, indicating a focus on data processing and integration within the CMS offline software framework.
cmscernweb-appc-plus-plusbackbonejs
PhysicsOfData/LaboratoryOfComputationalPhysics_Y3
Oct 2020 - Jan 2021
Repository for the tutorials and exercises for the course "Laboratory of Computational Physics" of the academic year 2020/21
Contributions:128 PRs, 116 pushes, 41 comments in 2 months
computational-physicsphysicspythonlaboratoryyear-2020
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