
Elias Bassani
R&D

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About me
AI Researcher at JRC | AI Safety · Information Retrieval
Education

Università degli Studi di Milano-Bicocca
2014 - 2017Master's degree Computer Science 110/110 magna cum laudeThesis title: "An approach to automatically assess the quality of user-generated content in Wikipedia"

Università degli Studi di Milano-Bicocca
2011 - 2014Bachelor's degree Informatics 101/110
Università degli Studi di Milano-Bicocca
2018 - 2023Doctor of Philosophy - PhD Computer Science ExcellentFocused on Information Retrieval (search engines), Personalization, and Deep Learning.Proposed approaches based on Neural Networks and LLM for Personalized Search.Proposed model for Product Search leveraging heterogeneous information sources.Introduced Neural Attention variant for Personalization..Designed approach to efficiently exploit Word Embeddings in Personalized Search using clustering techniques.Built a new benchmark for Personalized Search comprising four domains… Show more Focused on Information Retrieval (search engines), Personalization, and Deep Learning.Proposed approaches based on Neural Networks and LLM for Personalized Search.Proposed model for Product Search leveraging heterogeneous information sources.Introduced Neural Attention variant for Personalization..Designed approach to efficiently exploit Word Embeddings in Personalized Search using clustering techniques.Built a new benchmark for Personalized Search comprising four domains, 20M documents and 2M queries.Designed and implemented a user-friendly Python library (ranx) for ranking evalution, comparison, and fusion.Designed and implemented a user-friendly Python search engine (retriv) for lexical and semantic retrieval.Published in top-ranked Information Retrieval venues (SIGIR, CIKM, ECIR) and Q1 Journals (Information Fusion).Code implemented in Python, PyTorch, PyTorch Lightning, HuggingFace's Transformer library, Hydra, and more. Show less
Experience

Consorzio per il Trasferimento Tecnologico C2T
Nov 2017 - Feb 2023R&DDesigned and implemented an interactive user interface for search engines with Python, JavaScript, and CSS.Designed and implemented the backend of an interview management tool with Node.js.Designed and implemented the backend of a job-seeking platform with Node.js.Developed a Deep Learning model for finance-related task.Developed search engine prototypes with Elasticsearch, Python, JavaScript, Node.js, and React. Analysis of projects regarding finance, search engines, data warehousing, and data cleaning.Helped customers in streamlining and optimizing their workflows to include software tools. Show less

European Commission
Jan 2024 - nowAI ResearcherMember of the Cybersecurity and Digital Technologies Unit of the Joint Research Centre.· GuardBench: large-scale benchmark and Python library for guardrail models evaluation.
Licenses & Certifications
- View certificate

Deep Learning Specialization
CourseraAug 2020 - View certificate

Sequence Models
CourseraAug 2020 - View certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraJul 2020 - View certificate

ED Standardized English Test: C2 Proficient (EFSET 73/100)
EF Education FirstSept 2017 
IELTS 7.5 / C1
British CouncilSept 2017- View certificate

Natural Language Processing with Probabilistic Models
CourseraAug 2020 - View certificate

Convolutional Neural Networks
CourseraAug 2020 - View certificate

Natural Language Processing with Classification and Vector Spaces
CourseraAug 2020 - View certificate

Neural Networks and Deep Learning
CourseraJul 2020 - View certificate

Structuring Machine Learning Projects
CourseraJul 2020
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