À propos de Annelise
- Predictive models on sensory and behavioral data — memorability, preference, consumer expertise
- Multimodal pipelines combining physiological signal, behavior, and free-text data
- NLP on expert descriptions: perfumers, sommeliers, consumer panels
- Cross-cultural and psychometric studies for product R&D
- Knowledge graphs to structure sensory data and expert reviews (GraphDB certified)
- Strategic reporting tailored for R&D and innovation teams
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- Institut Lyfe Research and Innovation Center (Ex-Institut Paul Bocuse Research Center)Neuroscientist | AI and Data Science in Flavors Learning & Memoryjanvier 2024 - Aujourd'hui (2 ans et 5 mois)Lyon, FranceI specialize in the cognitive and neural processes of olfactory learning and memory, with a focus on flavors and scents. My key responsibilities include: RESEARCH- Leading research on olfaction and memory Uncovering the functional interactions between olfaction, emotions and memory Exploring learning and creativity in chefs and wine experts- Utilizing AI tools, including machine learning (ML) and natural language processing (NLP), to predict people's profile and level of expertise WORKSHOPS & CONFERENCES- Designing and leading workshops and conferences for the general public and private sectors.- Covering topics such as wine tasting, creativity, and olfactory memory.- Engaging audiences through interactive and hands-on sessions. COLLABORATIONS & PARTNERSHIPS- Building partnerships with academic institutions, industry leaders, and culinary experts.- Leading and managing projects involving data mining and analysis related to flavor and scent cognition.
- Institut Lyfe Research and Innovation Center (Ex-Institut Paul Bocuse Research Center)Research Scientist - Cognitive Neuroscience & AIjanvier 2022 - janvier 2024 (2 ans)Lyon, FranceMy research aimed at (1) Providing an important blueprint of how AI analytics applied to behavior and brain recordings can lead to data-driven innovative approaches to improve learning (2) Identifying the quantitative relationship between space, memory and chemical perception to design innovative learning strategies efficiently boosting memory performance (3) Characterizing how the architecture of dynamic neural networks learn information and support information transfer in order to shape the human brain
- Université De MontréalPostdoctoral Research Fellow // IVADO & FRQNT & UNIQUEseptembre 2018 - janvier 2022 (3 ans et 4 mois)Montreal, QC, CanadaCan positive emotions such as humorous amusement can boost learning ? My research aimed at studying learning and memory, by identifying the quantitative relationship between emotion and memory performance, and shedding light on the neural processes responsible for memory longevity. #learning #memory #EEG #MEG #brain #AI #emotions
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Formations
- Post-doctorat, Cognitive and Computational NeuroscienceUniversité De Montréal2021Post-doctorat, Cognitive and Computational Neuroscience
- Doctorat, Neurosciences CognitivesUniversité Claude Bernard Lyon 12015Doctorat, Neurosciences Cognitives
Certifications
- GraphDB Knowledge Graph EngineerOntotext Academy2024