Alberto Acuto

Data Scientist

Liverpool, England, United Kingdom
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Summary

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Senior
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Top School
Alberto Acuto is a PhD student in Cosmology based at the Astrophysical Research Institute, Liverpool John Moores University, with eight years of research and teaching experience focused on characterizing the halo model using BAHAMAS hydrodynamical simulations for large-scale structure cosmology. He combines astrophysics and big-data skills through the University of Liverpool’s LivDAT CDT, applying intensive data-science techniques to compare simulations with multiwavelength full-sky surveys. His background includes MSc/MPhil training in Astrophysics and hands-on experience modelling galaxy cluster gas rotation and producing X-ray mock observations. Beyond research, he has tutored undergraduate physics, led student media and outreach roles, and contributed to signal-processing and HPC groups—demonstrating an unusual blend of technical simulation work, data engineering and science communication.
code8 years of coding experience
job4 years of employment as a software developer
bookUniversity of Liverpool
bookUniversity of Bologna
bookMaster's degree, Master's degree at Camplus College
bookMaster of Philosophy - MPhil, Master of Philosophy - MPhil at Liverpool John Moores University
bookLiceo Scientifico "Galileo Galilei" Alessandria
languagesItalian, English, French
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Stackoverflow

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0questions
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Github Skills (36)

tracking-algorithm10
testing9
svd6
principal-component-analysis6
buffer6
extraction6
factor-analysis6
nlp-machine-learning5
mca5
text-extraction5
parse5
pca5
rl-environment5
openai-gym5
text-recognition4

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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A-acuto/RLYawningTitan

Oct 2023 - Jul 2026

Defending the unknown: Exploring reinforcement learning agents’ deployment in realistic, unseen networks
Contributions:2 PRs, 7 pushes, 2 branches in 2 years 9 months
reinforcement-learningcybersecurityreinforcement-learning-agentreinforcement-learning-environments
A-acuto/Stone-Soup

May 2023 - May 2026

A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
Contributions:7 PRs, 166 pushes, 38 branches in 3 years
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