I develop and evaluate machine-learning systems that turn complex clinical and urban data into useful evidence.
I'm a Research Associate in Artificial Intelligence at Imperial College London, CEO and Co-founder of CycleAI, and Invited Professor and Scientific Coordinator in Cybersecurity at Universidade Europeia.
LinkedIn · Publications / ORCID · CycleAI on GitHub
- Clinical AI: large language models for endoscopy and pathology reports, computer vision for medical images, and machine learning for cancer and epilepsy research. I focus on patient-level validation, reproducible analysis and preventing data leakage.
- Safer mobility: street-level imagery, crowdsourced perceptions, cycling-safety mapping and route planning through CycleAI, with research collaborations involving LSE and CITTA.
- Computational medicine: graph and network machine learning, molecule discovery and computational nutrition, building on my PhD at Imperial College London.
| Project | What you'll find |
|---|---|
| Colab Extras | A Chrome extension for inspecting, zipping, downloading and managing folders in Google Colab. |
| RoadSafety | Computer-vision research using street-view imagery, object detection and semantic segmentation to study cycling safety in London. |
| HyperFoods | Ingredient and recipe representations, cuisine classification and a food-recommendation research prototype. |
| FoodReco | PhD research notebooks exploring food networks and mass-spectrometry data. |
| Radar Gasóleo | A Portuguese fuel-price dashboard using public DGEG data. |
| Phylogenetic networks | Master's thesis on community detection in phylogenetic networks. |
- Clinical computer vision — Scientific Reports, 2026. Co-first-author of a study comparing CNNs and BioMedCLIP for identifying nasal anatomical variants on CT, evaluated with patient-level cross-validation.
- Bikeable — Case Studies on Transport Policy, 2026. First-author research estimating cyclists' perceived safety from street-level imagery in Lisbon and London.
- Cyclist crash severity — accepted at IEEE ISC2 2026. Research on serious and fatal injury severity using pre-crash multimodal data in Greater London; accepted for poster presentation and inclusion in the proceedings.
I teach cybersecurity, information management and applied data science, and write about AI, technology and society for publications including The Engineer, Público and Observador.
PhD in Computational Medicine, Imperial College London · Forbes Portugal 30 Under 30 — Science & Education, 2023
For research collaborations, teaching or speaking, connect with me on LinkedIn.