Scholar
Julio Hurtado
Google Scholar ID: ZKnSBs4AAAAJ
Phd PUC Chile, Innovation Research Associate CAMaCS
Citations & Impact
Citations
344
H-index
9
i10-index
8
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- Postdoctoral Research Associate at Pervasive IA Lab (PAILAB), University of Pisa
- Contributed to the development of Avalanche, an end-to-end continual learning library based on PyTorch
- Involved in multiple CAMaCS projects:
- - PREEMPTR: Developing an ML system to preemptively recommend diagnostic tests and assist interpretation for NHS practitioners
- - Hereditary Hemochromatosis project: Built ML models linking genotype to biomarker trajectories for early risk prediction and personalized care
- Worked at startups:
- - Developed NLP and CV models to categorize Instagram influencers for brand-user matching
- - Built product detection models for in-store mobile robots to identify stock-outs and pricing errors
Background
- Currently an Innovation Research Associate (InRA) at CAMaCS, University of Warwick
- International Collaborator with the Centro Nacional de Inteligencia Artificial (CENIA) in Chile
- Main research focus: Continual Learning—enabling deep learning models to learn new knowledge without forgetting prior knowledge
- Aims to improve model generalization and robustness by accumulating reusable and robust knowledge to minimize catastrophic forgetting
- Related research topics: Out-of-Distribution generalization, Open-World learning, disentangled representations
- Worked as a Data Scientist before and during PhD, applying NLP and Computer Vision to real-world problems
