Curriculum Vitae

General Information

Full name Erasmo Purificato

Date of birth 11th May 1991

Nationality Italian

Location Ispra, Italy

Main contact erasmopurif [at] gmail.com

Languages

Italian

English

German

Work Experience

  • 2024 - now
    Scientific Project Officer - Trustworthy Algorithmic Systems
  • 2021 - 2024
    Adjunct Professor in Software Engineering
  • 2020 - 2024
    Research Assistant
  • 2020 - 2024
    Research Fellow
  • 2018 - 2019
    Serie A Football Match Analysis
    • KlipDraw
    • Analysis of the best tactical plays and goals of the Italian Serie A matches on social networks (i.e. LinkedIn and Twitter) by employing KlipDraw Animate professional software.
  • 2017 - 2019
    IT Consultant
    AI Expert
    • Project management, design and implementation of machine learning and deep learning systems with open source frameworks and libraries (e.g. PyTorch, Keras, Tensorflow, scikit-learn, pySpark, LIME, SHAP, Flask).
    Technical Leader of the Machine Learning Innovation Team
    • Solution design and implementation of machine learning and deep learning use cases (churn analysis, predictive maintenance, fraud detection), both with IBM (Watson Studio, Watson Machine Learning) and open source tools (e.g. Python scripts, KNIME, Apache Spark) mainly in banking and financial areas.
    Product Specialist
    • Project management and implementation of cognitive information retrieval systems with IBM tools (Watson Content Analytics, Watson Enterprise Search).

Education

Invited talks and Seminars

  • 2023-02-23
    Assessing Disparate Impact and Mistreatment in Behavioural User Profiling
    • Invited talk at DEFirst Reading Group
    • Presentation of my paper published at CIKM'22 entitled "Do Graph Neural Networks Build Fair Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling"
    • YouTube link to the talk: Video
  • 2019-10-17
    Decrypting Machine Learning Models with LIME
    • Knowledge Sharing Program at Reply
    • Seminar on explainability techniques and the importance of trusting a machine learning model, especially in specific context like banking and financial
  • 2019-03-11
    Churn Prediction Analysis with Machine Learning
    • Invited talk at University of Brescia, "Machine Learning and Data Mining" course for Master students in "Computer Science and Engineering"
    • Seminar about the importance of customer churn prediction analysis in companies and how to tackle it with machine learning methods
  • 2019-02-13
    Churn Prediction Analysis for Telco Companies
    • Knowledge Sharing Program at Reply
    • Seminar about the analysis of customer churn prediction in Telco companies with state-of-the-art technologies and to explain the use of modern machine learning methods to domain
  • 2017-06-07
    Multimodal Information Retrieval with Apache Solr
    • Invited talk at University of Naples Federico II, "Information Retrieval Systems" course for Master students in "Computer Engineering"
    • Seminar about the use of Apache Solr for a multimodal information retrieval application in cultural heritage domain

Hard Skills

User Profiling - HCI

Machine Learning

AI Ethics - Fairness

Explainable AI

Recommender Systems

Deep Learning

Information Retrieval

Computer Vision

Soft Skills

Teamwork

Learning attitude

Critical thinking

Problem-solving

Leadership

Communication

Time management

Programming Skills

Python

11

LaTeX

11

Java

11

HTML/CSS

11

Matlab

11

C/C++

11

JavaScript

11

Certifications