Maëlle Moranges
  • Bio
  • Experience
  • Projects
  • Publications
  • Collective responsibilities
  • Dissemination
  • Teaching
  • Recent & Upcoming Talks
    • Example Talk
  • Teaching Experience
    • Technology Watch
    • Introduction to Machine Learning
    • Graph Data Mining
    • Language Typology
    • Biostatistics and Bioinformatics
    • Data Mining
    • Knowledge Discovery in Data
    • Advanced Databases
    • Psychophysiology of Perception
    • NeuroConferences
  • Responsabilities
    • Explain’AI Workshop - EGC 2025, Strasbourg
    • Design of the Educational Framework for the Bachelor's Program in AI, Biotech and Health
    • ComSciCon 2024, Lyon – Organizing Team
    • Explain’AI Workshop - EGC 2024, Dijon
    • ComSciCon 2023, Nancy – Organizing Team
    • Scientific Game Jam 2023 – Scientific Mentor
    • ComSciCon 2022, Marseille – Organizing Team
  • Dissemination of Scientific Knowledge
    • 🇫🇷 Sensibilisation aux sciences du numérique au Lycée Simone Weil
    • 🇫🇷 Relecture du script d'une vidéo de vulgarisation scientifique sur la mémoire avec Exaltia
    • 🇫🇷 Animation de la gazette du festival Pop'Sciences
    • 🇫🇷 Rédaction d'articles par mes étudiants sur l'Intelligence Artificielle
    • 🇫🇷 Rendez-vous LYSiERES² sur l’Intelligence Artificielle en santé
    • 🇫🇷 Mini-série animée de Mediasens sur l'olfaction
    • 🇫🇷 Participation à un Cinéma-Débat sur l'Intelligence Artificielle à Belleville-en-Beaujolais
    • 🇫🇷 Ma thèse en 180 secondes ⏱️
    • 🇫🇷 Vidéo de vulgarisation réalisée avec L’Exploratoire 📽️
    • 🇫🇷 Création d'un jeu vidéo lors de la Scientific Game Jam
  • Scientific projects
    • AI for Stroke Outcome Prediction
    • Analysis and Enhancement of a Medical E-Learning Database
    • Leveraging AI to Enhance Educational Practices
    • Exploring the Impact of COVID-19-Related Smell Disorders
    • Tracking Olfactory Disorders as Early COVID-19 Indicators
    • Understanding the Neurophysiological Mechanisms of Olfactory Perception and Emotion Using AI
  • Projects
  • Publications
    • Decoding student learning in medical education through UNESS platform interactions
    • Using Exceptional Attributed Subgraph Mining to Explore Interindividual Variability in Odor Pleasantness Processing in the Piriform Cortex and Amygdala
    • Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
    • Variabilités émotionnelle et neurophysiologique dans la perception olfactive: étude par l’intelligence artificielle
    • Using subgroup discovery to relate odor pleasantness and intensity to peripheral nervous system reactions
    • Contribution de l’anthropologie sensorielle à l’étude du COVID-19
    • Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity
    • Modeling the subjectivity of human olfaction and its variability
    • Recovery from COVID-19-related olfactory disorders and quality of life: insights from an observational online study
    • Exploring the relation between olfaction and affective states using artificial intelligence algorithms
    • Smell and taste changes are early indicators of the COVID-19 pandemic and political decision effectiveness
    • Exceptional attributed subgraph mining to understand the olfactory percept
  • Experience

ComSciCon 2022, Marseille – Organizing Team

Jun 26, 2022 · 1 min read
Go to Project Site

Supported logistics, candidate selection, and event coordination for this science communication workshop.

Last updated on Jun 26, 2022
Doctoral Education Workshop ComSciCon Dissemination
Maëlle Moranges
Authors
Maëlle Moranges
Postdoctoral researcher in Neuro-informatics
← Scientific Game Jam 2023 – Scientific Mentor Mar 26, 2023

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