Teaching

Courses

Introduction to Image Analysis (2026)

Course Instructor (with Prof. Dr. Reyes, Dr. Ramirez, and Dr. Marquez-Neila)

• 2026: Complete curriculum redesign to include deep learning content and vibe-coding-friendly assignments → student rating: 4.96 (n=22)

Student feedback: “Amazing course, i love it and i would love if there is a second part of it.”; “It’s definitely one of the most advanced courses, but for sure also one of the most interesting and best structured courses. Also the different lecturers did all a great job.”;

Medical Image Analysis (2022-2024)

Course Instructor (with Shelley Shu, Mike Mueller, Elias Ruefenacht, Jayden You)

• 2024: Introduced GitHub Classroom for automated assignment management → student rating: 4.89
• 2023: Implemented video lectures, Slack channels, hospital clinic visits → student rating: 4.92
• 2022: Complete curriculum redesign with interactive, hands-on approach → student rating: 4.94 (53% improvement from 3.25)

Student feedback: “Absolutely enjoyed this course… fantastic job… highly appreciate how interactive the course was”; “Improved programming skills… TA was extremely helpful and nice!”;

Biomedical Engineering Lab (2022)

Course Instructor (with Yannick Suter)

• Designed practical rotation course for incoming Master’s students
• Hands-on introduction to medical image analysis research methodology

Tutorials and workshops

Instructor for 3-hour Tutorial: “Deep Learning with MATLAB”

• Highest attended parallel tutorial (50+ participants)
• Topics: Network design, visualization, training challenges, GPU deployment

Instructor for Full-day Workshop: “Demystifying Deep Learning using MATLAB”

• 30 participants, hands-on computer vision demonstrations
• Pre-trained networks, transfer learning, GPU deployment