Alberto R

As a newly graduate in Computer Science and Engineering from DTU, I am excited about the opportunity of starting a career in Engineering. I am a quick learner and a team player, eager to apply my problem-solving skill to every challenge presented.

Student programmer at CAMES Rigshospitalet

Research and development of AI tools aimed at improving fetal diagnostic techniques (ultrasound scan). Focus on Explainable AI: clinicians need to comprehend the model decision-making process if they have to consider it for patient diagnosis.

Master’s Degree - Computer Science and Engineering 

Technical University of Denmark - Final grade: B (10/12)

• Main competencies learned: Machine Learning, Artificial Intelligence, Image Analysis, Computer Vision, Data Analysis, Data Security.
• Thesis topic: Development of an Explainable AI framework for fetal ultrasound scans, enabling clinicians to receive valuable feedback and understand the underlying reasoning of AI decisions, facilitating informed actions for optimal patient care.

University of Parma - Final grade: 104/110

• Main competencies learned: Software Development and Engineering, Programming, Telecommunication Systems and Networks, Databases.
• Thesis project: "Study and development of a mobile application to support the medical approach in helicopter rescue operations."