Francesca Palermo
R&D Computer Vision Principal Investigator - Smart Eyewear
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolFrancesca Palermo is an R&D computer vision researcher and principal investigator specializing in smart eyewear and embedded deep learning, with eight years of experience bridging academic rigor and product-focused edge deployment. Based in Milan, she leads development of ML models optimized for microcontrollers and context recognition on wearables at EssilorLuxottica while holding an honorary research role at Imperial College London. Her background spans multimodal fusion for object detection, time-series health monitoring for dementia, and AR prosthetics, demonstrating a knack for translating novel research into real-world devices. Francesca has published work on sensor fusion and explainable models, and she actively scouts IP opportunities alongside delivering efficient on-device inference. Notably, she combines university teaching and mentorship with industry R&D, reflecting strong communication skills and a proven ability to improve data quality and model robustness in noisy, real-world settings.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence and Robotics, Master of Science - MS Artificial Intelligence and Robotics at Sapienza Università di RomaDoctor of Philosophy - PhD Electronic Engineering and Computer Science, Doctor of Philosophy - PhD Electronic Engineering and Computer Science at Queen Mary University of London
English, Italian, French, Japanese
Github Skills (29)
image-synthesis9
high-resolution9
image-resolution9
python9
machine-learning9
gpu9
deep-learning9
tensorflow8
openvr8
numpy8
text-to-image8
neural-network8
tensor7
acceleration7
autograd7
Programming languages (3)
Github contributions (5)
francescapalermo/francescapalermo
Nov 2022 - Oct 2024
Contributions:4 pushes, 1 branch in 1 year 10 months
francescapalermo/AML
Jul 2022 - Mar 2023
ML bits and pieces
Contributions:6 pushes in 7 months
bitsmachine-learningpiecesdata-science
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