Senior Data Scientist at Schindler

Machine learning that perceives the physical world.

I build AI that runs on the device and understands its surroundings: smart eyewear that recognises what you are doing, robots that find cracks by sight and touch, and home sensors that flag early health changes in dementia care. At Schindler R&D in Milan, I lead technical work on computer vision and LLM projects.

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SchindlerR&D, Milan EssilorLuxotticaPrincipal Investigator, 2023 to 2026 Imperial College LondonResearch Associate, 2021 to 2023 Queen Mary University of LondonPhD, 2022

Selected work

All projects

Embedded AI

Context recognition on smart eyewear

On-device activity recognition, scene understanding, pose estimation and SLAM for consumer eyewear, with models compressed by up to 75%.

Robotics and vision

Multi-modal crack detection

Faster R-CNN and fibre-optic tactile sensing find surface cracks in 92.85% of cases, against 46.66% with vision alone.

Healthcare

Dementia monitoring and the TIHM dataset

Recurrent models and explainability on in-home sensor data to detect health changes, and an open dataset for remote monitoring.

Research areas

Context recognition
Computer vision on edge devices
Multimodal sensing
Machine learning for healthcare
Object detection
Signal processing
Learning from noisy data
Haptic exploration

Selected publications

All publications

2025
Advancements in context recognition for edge devices and smart eyewear: Sensors and applicationsIEEE Access
2024
Digital remote monitoring for screening and early detection of urinary tract infectionsnpj Digital Medicine
2023
TIHM: An open dataset for remote healthcare monitoring in dementiaScientific Data
2020
Implementing tactile and proximity sensing for crack detectionIEEE International Conference on Robotics and Automation (ICRA)