What I'm learning, building and exploring next.
This is a living document — updated as things evolve.
- Deep Learning Specialization — deeplearning.ai (Andrew Ng)
- Medical image segmentation — MONAI + PyTorch
- ROS2 — robotics middleware for medical robotics simulation
Automatic segmentation of mandibular anatomy from CT scans using MONAI, directly connected to the osteosynthesis plate design work from my TFG. Goal: automate the geometry extraction pipeline that currently requires manual 3D Slicer work.
Python MONAI DICOM 3D Slicer Deep Learning
Binary classifier for bone fracture detection trained on the MURA dataset (Stanford). Exploring transfer learning with ResNet and EfficientNet backbones.
Python PyTorch CNN Medical Imaging Transfer Learning
| Project | Area | Status |
|---|---|---|
| Surgical arm simulation in ROS2 + Gazebo | Medical Robotics | Planned — Q3 2026 |
| RAMCOD v3 — wireless EMG + mobile interface | Prosthetics | Planned |
| EEG pipeline extension — real-time classification | Neurotechnology | Planned |
- Medical robotics — surgical assistance, rehabilitation exoskeletons, prosthetics control
- Medical imaging & AI — segmentation, detection, diagnostic support
- IoMT & wearables — real-time physiological monitoring, sports medicine
- Medical device design — from CAD to clinical validation
- Collaboration on biomedical engineering projects
- Internship and junior roles in medical devices, medical AI or medical robotics
- Research partnerships in signal processing or medical imaging