Luca Milazzo

Technical Skills

Data Science & ML

Machine Learning
Deep Learning
Applied Statistics
Data Visualization
Python

Computational Biology

Metabolic Modeling (COBRA)
Genome Scale Models
Bioinformatics
High-throughput Data Analysis
Cancer Metabolism Focus

Software & Computing

Computer Science Fundamentals
Software Engineering Principles
Version Control (Git)
Problem Solving

Work Experience

09.2024 - Present

PhD Student Candidate

École polytechnique fédérale de Lausanne - EPFL (Switzerland)

Research focused on genome-scale metabolic models for cancer research at the Laboratory of Computational Systems Biotechnology (LCSB).

Computational Systems Biotechnology
Metabolic modeling
Cellular signaling
Human Cancer Metabolism

03.2024 - 08.2024

Teacher - Electronics and Telecommunications

Ministry of Education and Merit, Milan (Italy)

Teaching position at Istituto di Istruzione Superiore Luigi Galvani.

Education

2022 - 2024

M.Sc. in Data Science

University of Milano-Bicocca (UniMiB) - 110/110 Cum Laude

Included Erasmus studies at Högskolan i Skövde (Sweden)

Thesis: Leveraging high-throughput data and unsupervised learning to characterize cancer metabolic heterogeneity.

Machine Learning in Biology
Omics Data Analysis
Unsupervised Learning

2018 - 2022

B.Sc. in Computer Science

University of Milano-Bicocca (UniMiB) - 107/110

Thesis: Sampling strategies to tackle the False Discovery Rate in metabolic model analysis.

Algorithms and Data Structures
Programming
Foundations of Computational Statistics

Publications

COBRAxy: Constraint-based metabolic modelling in Galaxy

Lapi, F., Milazzo, L., et al. (Expected 2025)

Under review by Oxford Bioinformatics

Adjusting for false discoveries in constraint- and sampling-based differential metabolic flux analysis.

Galuzzi, B.G., Milazzo, L., Damiani, C. (2024)

Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2024.104597

Best Practices in Flux Sampling of Constrained-Based Models

Galuzzi, B.G., Milazzo, L., Damiani, C. (2022)

Machine Learning, Optimization, and Data Science (LOD)

DOI: 10.1007/978-3-031-25891-6_18

Relevant Projects

04.2024 - 08.2024

Google Summer of Code Contributor

National Resource For Network Biology (NRNB)

Developed the **Cobraxy** tool for integrating COBRApy and Marea4Galaxy. Implemented metabolic flux enrichment analysis and COBRA modeling within the Galaxy platform.