Irene Cannistraci

Irene Cannistraci

Ph.D. Student in Computer Science, Sapienza University of Rome

GLADIA Research Group

Hey there! 👋

I’m Irene, a Ph.D. student in Computer Science at the Sapienza University of Rome, and I’m part of the Gladia research group led by Professor Emanuele Rodolà.

My research journey has spanned deep learning, allowing me to explore diverse areas such as time-series and image analysis. Lately, I’ve been particularly focused on representation learning and its applications in healthcare.

I strongly believe that collaboration is the key to innovation, and I thrive in multidisciplinary teamwork. I enjoy combining knowledge from different domains to gain fresh insights!

When I’m not immersed in research papers and code, you’ll often find me pursuing my adventurous side. I’m an enthusiast of various sports, such as weightlifting, mountain biking, climbing, and hiking!

Interests
  • Artificial Intelligence
  • Deep Learning
  • Representation Learning
  • Medical Image Analysis
Education

Experience

 
 
 
 
 
Data Science in Action @ LUISS Guido Carli University
Teaching Assistant
Data Science in Action @ LUISS Guido Carli University
Sep 2023 – Present Italy
  • Lecturer and mentor for the Data Science in Action MSc course.
 
 
 
 
 
Deep Learning & Applied AI @ Sapienza University of Rome
Teaching Assistant
Feb 2023 – Jun 2023 Italy
  • Lecturer and mentor for the Deep Learning MSc course.
 
 
 
 
 
Unitelma Sapienza
Tutor
Nov 2021 – Present Italy
  • Help students learn more about the university and provide an interface between them and the professors
 
 
 
 
 
Fondazione Mondo Digitale
Coding Teacher
Nov 2020 – Jan 2022 Italy
  • Online coding lessons for high-school students for CO.ME.SE (COde&FraME for Self Empowerment) and CodinGirls Projects
  • Role Model for “La Notte dei Ricercatori 2020” and “STEM#4TeenGirls” the Erasmus+ Project for Scuole CEFA inRome, Bilbao and Prague
 
 
 
 
 
NTT Data
Software Developer Engineer
Jun 2017 – Feb 2019 Italy
  • RESTful APIs - Telecom
    • Develop a microservices architecture to revise an outdated monolithic platform for messaging. Scalability and high reliability were guaranteed by the Openshift platform, meanwhile real-time tracking and quick troubleshooting by Elasticsearch
  • Internal Portals (ServiceNow) - Enel
    • eProfile: employees use the service to create their profiles, insert their job-related information, and apply to open internal positions
    • OneClick: employees adopt it to open issue tickets, request devices, software licenses, etc.
    • Global Travel: Global Travel: employees adopt it to insert travel requests

Publications

From Charts to Atlas: Merging Latent Spaces into One
From Charts to Atlas: Merging Latent Spaces into One
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Real-Time GAN-Based Model for Underwater Image Enhancement
Real-Time GAN-Based Model for Underwater Image Enhancement
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Bootstrapping Parallel Anchors for Relative Representations
Bootstrapping Parallel Anchors for Relative Representations

Posters

Talks

Introduction to Artificial Intelligence
Problems With the Analysis of Large Collections of Electronic Health Records

Awards

Sapienza University of Rome
Avvio alla Ricerca
Research grant of EUR1000 for young researchers and Ph.D. students
Zonta International awarded 20 international scholarships of US$8,000 to women of any age and nationality, pursuing an IT degree at an accredited university, who demonstrate outstanding potential in the field.
DISCO Lazio - Regional Body for Right to Education and Knowledge
Lazio DiSCo Scholarship
Scholarship for academic merits sponsored by Sapienza to fully cover the B.S. tuition fees.

Attended

Challenges in building Billion Users Cloud Applications (BUCA)
Eastern European Machine Learning Summer School (EEML)
Machine Learning Summer School on Applications in Science (MLSSS)
Mediterranean Machine Learning Summer School (M2L)
Synapse AI Symposium

Contact Me