📄Resume
More about me
Last updated
More about me
Last updated
Master Degree in in Computer Science and Artificial Intelligence University of Pisa, Pisa (PI), 2022 Grade: 110/110 cum Laude Thesis: Towards a Branch-and-Cut Algorithm for Lexicographic Multi-Objective Mixed-Integer Linear Programming Supervisors: Prof. Marco Cococcioni, Prof. Massimo Pappalardo
Bachelor in Computer Engineering University of Pisa, Pisa (PI), 2019 Grade: 101/110 Thesis: Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem Using Branch-and-Bound and Infinity Computing Supervisors: Prof. Marco Cococcioni, Prof. Massimo Pappalardo
High School diploma in programming expert and accountant High School ITS M. Laporta, Galatina (LE), 2012
Research Assistant 2021-2022 (certification) Department of Pediatrics, University Hospital of Pisa Supervisor: PhD Massimo Pifferi Description: prove that quantitative distribution of ciliary ultrastructural and motion abnormalities would detect most frequent Primary Ciliary Dyskinesia (PCD)-causing groups of genes by soft computing analysis (Artificial Neural Networks).
Undergraduate Researcher November 2018 - May 2020 Department of Information Engineering (DII) of the University of Pisa Supervisor: Prof. Marco Cococcioni Description: theoretical study and development of an algorithm, called GrossBB, able to solve the LMILP (Lexicographic Mixed Integer Linear Programming) problem using the Grossone-based methodology and a generalization of the Branch&Bound (BB) Algorithm.
Undergraduate Student Internship October 2016 - February 2017 Department of Information Engineering (DII) of the University of Pisa Supervisor: Prof. Marco Cococcioni Description: Designed and build Optimization Algorithm for LP (Linear Programming) problems with a single objective and LMOLP ( Lexicographic MultiObjective Linear Programming) problem with multiple objective.
All my projects and publications can be found on GitHub and Google Scholar.
Italian: native language
English: B2
IELTS (International English Language Testing System)
MATLAB Onramp (MathWorks)
Music, Play Guitar, Cinema, any form of Arts
Area | Languages |
---|---|
Programming Languages
C99, C++17, Java, Julia, Python, SQL (fair), Matlab, Assembly, bash, Latex
Parallel Paradigms
FastFlow, OpenMP, MPI, OpenCL (basic), Thread-level Parallelism
Typesetting Packages
Latex, Microsoft Word, Microsoft PowerPoint
Tech. Tools
Visual Studio Code, Anaconda, Jupyter, PyCharm, Docker, Terminal, CLion
SysAdmin
VMware ESXI, Citrix XenServer (both as hypervisor and vps management), Amazon EC2, AZURE VPS, Google Compute Engine
Operating systems
Windows, Linux, Unix, MacOs
AI & Machine Learning
Machine Learning, Natural Language Processing, Neuroscience-Inspired AI, Deep Learning
Machine Learning Frameworks
PyTorch, Tensorflow, Keras, Scikit-learn, Azure/AWS ML
Numerical analysis and optimization
Constrained and unconstrained optimization, mixed-integer linear programming, Multi-objective Optimization
Numerical analysis and optimization Tools
CPlex, Gerubi, Matlab optimization tools