Mikele Milia

Mikele Milia completed his entire academic career at the University of Padua. In 2019 he graduated in Computer Engineering, course where he deepen his knowledge. In 2021 he finished his Master Degree in Computer Engineering. He collaborated in a research activity with Professor Di Camillo on bioinformatics field and currently he is a Ph.D. student in Information Engineering at the University of Padova. His Ph.D. project focuses on the development of a bioinformatics algorithms, methods and software for the analysis of omics (genomics, epigenomics and trascriptomics) data .

Master in Computer Engineering at the University of Padova, Padova, Italy

Oct 2019 - Dec 2021
Thesis: Data-driven approach to inform a multi-agent spatio-temporal simulator of tumor micro-environment
Supervisor: Prof. Barbara Di Camillo

Bachelor in Computer Engineering at the University of Padova, Padova, Italy

Oct 2014 - Jul 2019
Thesis: Qualitative analysis of quality value smoothing and its impact on the compression of High Throughput Sequencing data
Supervisor: Prof. Matteo Comin

Ph.D. Student in Information Engineering at the Department of Information Engineering, University of Padova, Padova, Italy

Oct 2022 - today

Research collaborator at the Department of Information Engineering, University of Padova, Padova, Italy

Feb 2022 - Sep 2022

Mikele Milia research fields are Bioinformatics and Computational Biology. His main research interests are omics data integration and xAI (eXplainable Artificial Intelligence) tools useful to explain and support clinical decisions made using artificial intelligence methods. His current research with Professor Di Camillo is aimed at developing algorithms, methods and software for the analysis of genomics, epigenomics and trascriptomics data. Mikele Milia has also a great expertise of Linux systems, programming languages (e.g., C/C++, Python) and container engines (e.g., Docker, Singularity). He also has a good knowledge of machine learning (e.g., TensorFlow, PyTorch) and parallel programming (e.g., OpenMP, MPI) frameworks and optimization programs (e.g., CPLEX).

International Society of Computational Biology - ISCB (role: member)

Young-InfoLife group, InfoLife National Laboratory of CINI (role: member)

Instuctor in tutorial “Software containerization in bioinformatics: how to make reproducible, portable and reusable bioinformatics software&pipelines” at New Trends in Bioinformatics by ECCB - 21st European Conference on Computational Biology (ECCB 2022)

Sitges, Spain, Sep 18, 2022

Instuctor in tutorial “How to make reproducible, portable and reusable bioinformatics software using software containerization” at 31st Conference on Intelligent Systems for Molecular Biology & 22nd European Conference on Computational Biology (ISMB/ECCB 2023)

Lyon, France, July 23, 2023

Program committee, local committee at 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB 2023)

Padova, Italy, Sep 6 - 8, 2023

Oral presentation: G. Cesaro, M. Milia, G. Baruzzo, P. Alotto, N.F. da Cunha Carvalho de Miranda, Z. Trajanoski, F. Finotello, B. Di Camillo, “Simulate personalized tumor microenvironment evolution through a hybrid Multi-Agent Spatio-Temporal model informed by sequencing data” at Annual Meeting of the Bioinformatics Italian Society (BITS) 2022

Verona, Italy, Jun 27 - 29, 2022

Poster presentation: G. Cesaro, M. Milia, G. Baruzzo, P. Alotto, N.F. da Cunha Carvalho de Miranda, Z. Trajanoski, F. Finotello, B. Di Camillo, “Tumor microenvironment evolution simulated through a hybrid Multi-Agent Spatio-Temporal model informed using sequencing data” at European Conference on Computational Biology (ECCB) 2022

Sitges, Spain, Sep 12 - 21, 2022

Poster presentation: G. Cesaro, M. Milia, G. Baruzzo, P. Alotto, N.F. da Cunha Carvalho de Miranda, Z. Trajanoski, F. Finotello, B. Di Camillo, “Simulate tumor microenvironment evolution from sequencing data through a hybrid Multi-Agent Spatio-Temporal model” at Bioinformatics and Computational Biology Conference (BBCC) 2022

Virtual conference, Dec 13 - 15, 2022

Conference referee at "Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB) 2021"

Journal referee at "IEEE Journal of Biomedical and Health Informatics"

G. Cesaro, M. Milia, G. Baruzzo, G. Finco, F. Morandini, A. Lazzarini, P. Alotto, N.F. da Cunha Carvalho de Miranda, Z. Trajanoski, F. Finotello, B. Di Camillo, “MAST: a hybrid Multi-Agent Spatio-Temporal model of tumor microenvironment informed using a data-driven approach”, Bioinformatics Advances, 2022. (DOI: 10.1093/bioadv/vbac092)