Matteo Iorio
Engineering and Computer Science student
About Me
I am an Engineering and Computer Science student at "Alma Mater Studiorum" Bologna University. During my experience at University, I had the opportunity to study Algorithm and Data Structures, Java (and many more) and this increased my passion for Computer Science. I have a high passion for Machine Learning and Computer Vision.
Professional Skills
Starting from the High School, I gained a strong knowledge of Object Oriented Programming with the programming language of Java and Scala, thanks also at the Course OOP at my University, I strengthened this knowledge. I have knowledge of programming patterns. I always try to find the best solution for a problem. I am a fast learner and I am always happy to gain more knowledge. Thanks to my previous works, I increased my skills in team working, I learned how to communicate in a team, work in a team and to build a strong team.
Languages
Java
Python 3
NodeJS
Scala
C++
Framework & Tools
Github
Jupyter Notebook
Docker
JUnit
Gradle
Libraries
JavaFX
Tensorflow
OpenCV
SciKit
Work Experience
Back End Developer at Trust-IT
August, 2023 - Present
"Improving the AWS architecture."
- First task: Creating scripts for configuring websites on a Kubernetes cluster. Creation of Docker templates for websites to be uploaded to the cluster. Creating scripts for configuring websites uploaded to AWS EC2.
- Second task: My assigned task involved the development of a script aimed at automating the creation of databases sourced from dumps stored on an S3 bucket. The primary objective was to enable seamless utilization of these databases by pods within a Kubernetes cluster. The script's functionality extended beyond database creation to include the automatic generation of AWS Secrets. These secrets store crucial information necessary for establishing secure connections between the pods and the associated databases, ensuring a streamlined and secure integration within the Kubernetes environment.
- [Python3, Boto3, MySQL, Bash Scripting, Gitlab CI, Docker, AWS EKS]
Software Engineer at IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori"
December, 2022 - September 2023
"Data Science For Health Image Alignment Tool."
- Worked inside the MiAi (Microscopy & Artificial Intelligence) team.
- Main task: To develop a plugin for the ImageJ and Fiji platforms, capable of performing manual and automatic 2D image alignments.
- [Java, OpenCV, Gradle, ImageJ/Fiji, Java Parallel Computing]
Software Engineer Intern at MLH Fellowship
September, 2022 - December, 2022
"Improving the Ephemeral GitHub Runners, in how they are deployed & terminated within the cloud platform in an automated fashion."
- OpenSource Fellowship sponsored by GitHub.
- Company that hosted the job: I have worked on an Open-Source project hosted by G-Research.
- Main task: The main problem of my project that I faced was to optimize our cloud architecture (The situation prior to my job was a worksharing between Google Cloud and AWS). My task was to create a single model based on a single architecture, that of AWS .
- [Java, JavaFX, NodeJS, Probot, Github CI, Gradle, AWS Lamba]
Education
Master of Engineering and Computer Science from Alma Mater Studiorum University of Bologna
2023 - present
Bachelor of Engineering and Computer Science from Alma Mater Studiorum University of Bologna
2020 - 2023
- Final Grade: 107/110, GPA: 27.8/30 (top 4%)
- Dissertation Title: DS4H Image Alignment tool: algorithms for automatic alignment with extension of competitor tools and the possibility of elastic corrections, including optimized management of multichannel images
- Dissertation Info: My thesis work was conducted in collaboration with IRST in Meldola.
Information Technology Diploma from ITT Blaise Pascal
2015 - 2020
- Final Grade: 100/100
Publications
Poster Presentation
"DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality 2D microscopy images."
Filippo Piccinini, Vincenzi Fabio, Iorio Matteo, Marcella Tazzari, Maria Maddalena Tumedei, Jae-Chul Pyun, Enrico Giampieri, Giovanni Martinelli, Gastone Castellani, Antonella Carbonaro. DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality 2D microscopy images. Straub Conference 2023, 25-26/05/2023, Biological Research Centre (BRC), Szeged, Hungary. Poster Presentation
Filippo Piccinini, Vincenzi Fabio, Iorio Matteo, Marcella Tazzari, Maria Maddalena Tumedei, Jae-Chul Pyun, Enrico Giampieri, Giovanni Martinelli, Gastone Castellani, Antonella Carbonaro. DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality 2D microscopy images. Straub Conference 2023, 25-26/05/2023, Biological Research Centre (BRC), Szeged, Hungary. Poster Presentation
Abstract and Oral Presentation
User-friendly open-source tools for aligning multimodality 2D microscopy images and performing single-cell co-localization analysis
Filippo Piccinini, Matteo Iorio, Fabio Vincenzi, Marco Edoardo Duma, Marcella Tazzari, Maria Maddalena Tumedei, Jae-Chul Pyun, Giovanni Martinelli, Gastone Castellani, Antonella Carbonaro, "User-friendly open-source tools for aligning multimodality 2D microscopy images and performing single-cell co-localization analysis". Cells & Extracellular Templates (CET) 2023, 7-9/06/2023, University Niccolò Cusano-Roma, Rome, Italy.
Filippo Piccinini, Matteo Iorio, Fabio Vincenzi, Marco Edoardo Duma, Marcella Tazzari, Maria Maddalena Tumedei, Jae-Chul Pyun, Giovanni Martinelli, Gastone Castellani, Antonella Carbonaro, "User-friendly open-source tools for aligning multimodality 2D microscopy images and performing single-cell co-localization analysis". Cells & Extracellular Templates (CET) 2023, 7-9/06/2023, University Niccolò Cusano-Roma, Rome, Italy.