Short CV
Basics
Name | Michele Cafagna |
Label | Machine Learning- NLP, CV, XAI Researcher/Engineer |
m.cafagna26{at}gmail.com | |
Url | https://michelecafagna26.github.io/ |
Summary | Machine Learning Researcher/Engineer. Interested in Natural Language Processing, Computer Vision, Multimodality and XAI |
Work
- 2024.03 - pres
NLP Data Scientist
Okra.ai, Leiden, The Netherlands ๐ณ๐ฑ
Conduct applied research on the latest technologies and methodologies in NLP, LLMs, to drive innovation within the team. Design, develop new, and refine existing NLP applications and large language models, ensuring they are robust, scalable, and effective.
- Applied Research
- Algorithm Design
- Software Development
- XAI
- NLG
- NLP
- LLM
- 2022.10 - 2022.12
Research Intern
Orange Innovation Labs, Lannion, France ๐ซ๐ท
Internship at the Orange Innovation Lab under the supervision of Lina M. Rojas Barahona. Developed an Explainability framework based on KernelSHAP to explain efficiently Large Vision and Language Generative models using semantically informed visual priors.
- Explainable Vision and Language
- Industrial Research
- Algorithm Design
- Software Development
- XAI
- Presentation Skills
- 2022.01 - 2022.08
Visiting Researcher
University of Utrecht, Utrecht, Netherlands ๐ณ๐ฑ
I worked at the Natural Language Processing Group of the Intelligent Software Systems division of the Computer Science Department supervised by Albert Gatt and Kees van Deemter. Worked on the analysis of the impact of high-level linguistic expression on large generative VL models to improve the quality of multimodal representations.
- Explainable Vision and Language
- Research Supervision
- Technical Research
- Presentation Skills
- Pytorch
- XAI
- Multimodality
- 2020.09 - pres
PhD fellow and Researcher
Institute Linguistics & Language Technology, University of Malta ๐ฒ๐น
Conducted Research on Multimodal Grounding of Linguistic expressions into Vision and Explainablity applied to Vision and Language Modeling. Full details in the long CV
- Computer Vision
- Natural Language Processing/Generation
- XAI
- Multimodal Grounding
- 2019.06 - 2020.09
Machine Learning Researcher/Engineer
Aptus.AI ๐ฎ๐น
As a Machine Learning Research Scientist, I was responsible for the implementation, training, evaluation, testing, and deployment of ML models; primarily in the NLP and Multimodal domain. specifically: (1) Research and implementation of research papers; (2) Implementation and deployment of ML APIs; (3) Design and prototyping of MVPs; (4) Master Students Supervision
- Machine learning
- Deep Learning
- Pytorch
- Software Development
- Python
- Keras
- Test Driven Development
- Agile methodologies
- Teamwork
- Student Supervision
- MLOps
- Microserives
- Docker
- Natural Language Processing (NLP)
- 2019.04 - 2019.05
Visiting Researcher
Research Center for Language and Cognition, University of Groeningen, Groeningen, Netherlands ๐ณ๐ฑ
Worked on Generative Language Models and Analysis of Writing Styles in Journalism under the supervision of Prof. Malvina Nissim. The output of this work led to three publications
- Natural Language Generation
- Data collection
- Web scraping
- Research
Education
-
2020 - present Phd
University of Malta, Malta ๐ฒ๐น
Natural Language Processing & Computer Vision (Multimodal AI) and Explainability (XAI)
-
2017 - 2019 -
2014 - 2017 Bachelor Degree
University of Bari, Bari, Italy ๐ฎ๐น
Computer Science and Technologies for Software Production
Awards
- 2023
Outstanding Reviewer
The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023)
- 2019
Best Paper Award Finalist with Special Mention
Clic-it 2019 Sixth Italian Conference on Computational Linguistics
- 2017
Finalist
e-Health Award. Research Competition or project on Digital Health, AiSDet Associazione Italiana di Sanitร Digitale e Telemedicina
Languages
๐ฎ๐น Italian | |
Native speaker |
๐ฌ๐ง English | |
Fluent |
๐ซ๐ท French | |
Intermediate |
๐ช๐ธ Spanish | |
Intermediate |