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👋🏻 Welcome to my GitHub!

Hi there! I'm François, a Research Scientist in Artificial Intelligence at Meta from 🇫🇷 and 🇪🇸

My ambition is to transcend traditional AI boundaries, specifically Large Language Models (LLMs), by steering my research towards areas with profound positive impacts: Healthcare, Neurosciences, Ecology, and Energy.

🚀 About Me

  • 🏢 Currently a Research Scientist intern at Meta (FAIR).
  • 🎓 Alumnus of UC Berkeley (❤️☀️), where I earned my Master's degree in AI/Computer Sciences in May 2023.
  • ✏️ Author: I share insights and research on my Medium Blog.
  • 🎸 Hobbies: I enjoy playing the Guitar and making music, Hiking, and writing Articles

🔭 Core Research Interests

  • Representation Learning
    Joint Embedding Spaces, Cross-modal integration.
  • Uncertainty Estimation
    Calibration, search optimization, long-term planning.
  • Self-Supervised Learning
    Video and sound analysis, new data modalities.
  • Multimodal Learning
    Robust zero-shot learning, representation fusion.
  • Explainable AI (XAI)
    Neural network interpretability, decision-making transparency.

🌐 Let's Connect!

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François Porcher's Projects

calibration_curve icon calibration_curve

Pushing classifiers to their limits by chaining a second model to calibrate probabilities

grad-cam icon grad-cam

Interpretable Computer Vision: Visualising the zones of steepest gradients in the last convolutional layer

simulated-bifurcation icon simulated-bifurcation

Simulated Bifurcation (Quantum Physics model for Ising models) to find heuristics for NP hard problems with great computational efficiency

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