I'm a Machine Learning Engineer and recent MSc graduate in Artificial Intelligence from the University of Bologna. My work spans deep learning for computer vision, medical imaging, NLP, time-series forecasting — with a strong focus on building models that are both accurate and responsible.
- 🔬 Research interests: ML, Computer Vision, Medical Imsge Analysis, NLP
- 💼 Currently: ML Engineer Intern at PROGEA S.r.l., Bologna — CNN pipelines for time-series in flood & hydrological prediction
- 🌱 Currently exploring: LLMs, Vision Transformers, Hybrid Physics-ML models
- 📍 Based in Bologna, Italy
| Type | Title | Venue |
|---|---|---|
| Journal | DenUnet: Enhancing Dental Image Segmentation through Edge and Body Fusion | Multimedia Tools and Applications, Springer, 2025 · DOI |
| Preprint | Enhancing Lung Cancer Detection: Segmentation and Classification of CT Images Using U-Net | Research Square, 2024 · DOI |
Languages
Deep Learning & ML
Medical Imaging
Data & Visualisation
DevOps & Tools
| Project | Description | Stack |
|---|---|---|
| 🫁 CT Atlas Pulmonary Nodules | Master's thesis — CT atlas for pulmonary nodule detection in lung cancer screening | PyTorch, Jupyter |
| 🔍 Person Search | Faster R-CNN + OIM Re-ID for pedestrian search on PRW dataset | PyTorch, torchvision |
| 🧠 EDiReF NLP | BERT multi-task emotion classification + trigger detection | BERT, HuggingFace |
| 🦴 Bone Health Assessment | ResNet + Attention for X-ray abnormality detection · AUC 84.6% | PyTorch, ResNet |
| 📈 MLE & MAP Regression | MLE and MAP polynomial regression under Gaussian and Poisson noise | Python, NumPy |
| 🌊 PatchTST Forecasting | PatchTST transformer model for river discharge forecasting | PyTorch, Transformers |