Electrical Engineer (PhD) · Data Scientist · University Lecturer
I design and deploy end-to-end AI systems in healthcare, industry, and scientific environments, focusing on solutions that move from research into real-world impact.
Selected Work
- Clinical AI systems for EEG-based risk prediction
- Deep learning models for 3D biomedical image segmentation (Cell Tracking Challenge – Top 3)
- Vision Transformer architectures for medical imaging
- Industrial computer vision systems for automation and monitoring
Explore my work
- Applied AI & Engineering — real-world AI systems and deployments
- Logbook — detailed, traceable record of projects and experiments
- Publications — scientific research and contributions
- Teaching — courses, labs, and student mentorship
About
Electrical Engineer (PhD) and Data Scientist working at the intersection of artificial intelligence, computer vision, and real-world systems.
I build deployable AI solutions in healthcare and industry, integrating data, models, and operational constraints.
I have also taught more than 70 courses in engineering, mathematics, and data science, focusing on hands-on and applied learning.