Marcos Diez García
Senior Researcher at Fujitsu Research
United Kingdom
Summary
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Senior🎓
Top SchoolMarcos Diez García is a senior researcher and PhD-trained computer scientist with 11 years of experience applying optimisation, quantum simulation and HPC techniques to real-world problems. Currently at Fujitsu Research he leads R&D on large-scale quantum circuit simulation using tensor networks and has built general tooling such as Auto-Penalty and Auto-QUBO to automate QUBO formulation and penalty tuning for specialised hardware. His background spans academia and industry—from postdoctoral work on constraint handling in QUBO to teaching AI workshops—bringing both rigorous research methods and practical engineering delivery. He combines deep expertise in optimisation, quantum-inspired algorithms and high-performance computing with hands-on skills in networking, security and cloud technologies. Known for tackling tight deadlines and translating high-level problem descriptions into hardware-agnostic solutions, he often bridges the gap between theoretical methods and deployable systems. Based in the UK, he brings leadership, clear communication and a track record of shipping research-driven software tools.
11 years of coding experience
2 years of employment as a software developer
University of SevilleDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Exeter
Spanish, English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (1)
genetic-algorithm6
Github contributions (5)
marcosdg/computer-science-resources
Nov 2014 - Apr 2016
Contributions:4 commits, 1 push in 1 year 4 months
marcosdg/darwin
Dec 2014 - Jan 2016
Contributions:150 commits, 123 pushes, 6 branches in 1 year
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