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  • Lisbon, Portugal

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annelisesaive/README.md

Hi, I'm Anne-Lise

Applied ML researcher. I build models that recover latent structure from noisy real-world neural, physiological, linguistic and behavioral signals.

Current focus: rigorous evaluation and calibrated inference on messy real-world data. Time-series and language models, honest nulls, abstention over fluency.

Background: PhD, Cognitive Neuroscience (Université Claude Bernard Lyon 1). Tenured Research Scientist at Institut Lyfe. Visiting Researcher at the Champalimaud Foundation (Lisbon). Postdoc at CoCo Lab / UdeM (Mila-affiliated).

Open-source: contributor to NeuroPycon (NeuroImage 2020) and Visbrain (Frontiers in Neuroinformatics 2019).

Selected projects

  • DeepFooding eating-behavior quantification from meal videos. CLIP / X-CLIP / SlowFast, continuous-target bite detection, hierarchical food-type classification.
  • Memorable Scents predictive modeling of odor-evoked memory (RF / XGBoost + SHAP, N=106). iScience 2026.
  • Wine Tasting KG knowledge graph and price-quality analysis on ~130k wine reviews. Powers QualitySip, a Streamlit app for value-for-money wine discovery.
  • Chatbot Wine Memory adaptive dialogue for semi-structured sensory-memory elicitation.

Writing

Flavors of Science a newsletter on flavor, memory, and AI for industry and curious humans.

Elsewhere

LinkedIn · Google Scholar · Substack

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  1. DeepFooding-CDL DeepFooding-CDL Public

    Eating-behavior quantification from meal videos. Pose and keypoint tracking with confidence-aware post-processing.

    Jupyter Notebook 1

  2. jltt-grc/memorable_scents jltt-grc/memorable_scents Public

    Code and notebooks for the Memorable Scents project: analyzing odor-evoked memories and modeling what makes a scent memorable.

    Jupyter Notebook 2

  3. Wine_tasting_KG Wine_tasting_KG Public

    Knowledge graph + price-quality analysis on 130k wine reviews. Powers QualitySip (Streamlit app for value-for-money wine discovery).

    Jupyter Notebook 1

  4. Chatbot_Wine_Memory Chatbot_Wine_Memory Public

    Adaptive chatbot for semi-structured interviews on memorable sensory experiences. Captures sensory detail, setting, emotion, personal significance

    Python