Alexandre De Masi

Alexandre De Masi

PostDoc Researcher / Data Scientist / Educator

University of Geneva


Alexandre De Masi is a researcher and educator at the University of Geneva. His research interests include Quality of Experience, mobile sensing, large language model and affective computing.

Througout multiple projects, he developed transdiciplinary skills in education, research, data science and machine learning. In the past, he has developed Android applications in Kotlin and Java for a research project on smartphone application Quality of Experience. He developed and deployed machine learning models for affective computing. Since 2018, he has been teaching the “Introduction to Programming” class at the University of Geneva in Switzerland. Additionally, he has experience writing video scenarios and educational content (quizzes and Jupyter Notebook) for MOOCs, including employing Bloom’s taxonomy to foster the creation of successful courses. His most recent MOOC is available on Coursera (“Introduction to Programming” with Scala in French), with more than 600 learners. The MOOC is also accessible to the University of Geneva students’ throughout our MOOC platform (+1000 students).

Download my resumé.

  • Machine Learning
  • Wearable and Smartphone Data Collection
  • Quality of Experience
  • e-Learning and MOOC
  • PhD in Information Systems and Services Science, 2023

    University of Geneva (Switzerland)

  • MSC in Pervasive Computing and COMmunications for sustainable development (PERCCOM), 2015

    University of Lorraine (France), Lappeenranta University of Technology (Finland), Luleå University of Technology (Sweden)

  • BSc in Engineering (Network and Telecommunication), 2012

    Université Henry Poincarré (France)

Recent Publications

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