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 Prof. Emanuele Rodolà.

My research journey has allowed me to explore diverse areas of deep learning, such as time-series analysis and computer vision. Lately, I’ve been particularly focused on representation learning.

My recent research involves studying and analyzing how and why independent neural networks encode information similarly. This investigation enables the adaptation and reutilization of neural models, bypassing the demand for extensive retraining resources. It supports the exchange of knowledge between models and data modalities (e.g., text, vision, and graphs), offering the capability to directly evaluate their performance within the latent space.

I am also involved in educational activities to disseminate coding and digital skills to students, particularly young women. Since 2022, I have been an honorary member of Zonta Italy, part of Zonta International, a global organization dedicated to empowering women through service and advocacy.

When I’m not working, you’ll often find me exploring my adventurous side. I’m an enthusiast of various sports, including weightlifting, mountain biking, climbing, and hiking!

Interests
  • Representation Learning
  • Deep Learning
  • Computer Vision
  • Foundation Models
  • Multimodal
  • Transformers
  • Model Re-use
  • NLP
Education

Experience

 
 
 
 
 
Institute of AI for Health @ Helmholtz Pioneer Campus
Visiting Research Student
Feb 2024 – Jul 2024 Munich, Germany
  • Visiting student in the AIDOS Lab under the supervision of Prof. Bastian Rieck, conducting research at the intersection of representation learning, geometry and topology.
 
 
 
 
 
Data Science in Action @ LUISS Guido Carli University
Teaching Assistant
Data Science in Action @ LUISS Guido Carli University
Sep 2023 – May 2024 Rome, Italy
  • Lectured and mentored 40+ students for the Data Science in Action MSc course, and designed and implemented the course lab sessions.
 
 
 
 
 
Deep Learning & Applied AI @ Sapienza University of Rome
Teaching Assistant
Feb 2023 – Jun 2023 Rome, Italy
  • Lecturered and mentored 80+ students for the Deep Learning and Applied AI MSc course.
 
 
 
 
 
Unitelma Sapienza
Tutor
Nov 2021 – Present Rome, 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 Rome, 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 Rome, Italy

Developing multiple software for several international customers such as Enel and Telecom. Some examples:

  • 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 Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Spotlight (top 5%) @ ICLR 2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
MV-MS-FETE: Multi-View Multi-Scale Feature Extractor and Transformer Encoder for Stenosis Recognition in Echocardiograms
Computer Methods and Programs in Biomedicine
MV-MS-FETE: Multi-View Multi-Scale Feature Extractor and Transformer Encoder for Stenosis Recognition in Echocardiograms
From Charts to Atlas: Merging Latent Spaces into One
NeurReps @ NeurIPS 2023
From Charts to Atlas: Merging Latent Spaces into One
Real-Time GAN-Based Model for Underwater Image Enhancement
ICIAP 2023
Real-Time GAN-Based Model for Underwater Image Enhancement
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Preprint
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study

Posters

Talks

Achievements

Supported the ideation and organization of the second edition of the Unifying Representations in Neural Models Workshop. Coordinated reviewers and submissions on OpenReview.
Travel grant of €5,000 for junior researchers in the ELISE/ELLIS network
Research grant of £2,000 to early career researchers in quantitative discipline
Three months (April-June) fully-funded research stay at the Institute of AI for Science, Helmholtz Munich
Research grant of €1,000 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)
The Fortieth International Conference on Machine Learning (ICML 2023)
Eastern European Machine Learning Summer School (EEML)
Machine Learning Summer School on Applications in Science (MLSSS)

Contact Me