My teaching philosophy centers on connecting computational methods with practical applications in medicine and the health sciences. With experience teaching across Machine Learning, Data Science, and AI in Dental Medicine, I work in interdisciplinary settings that bring together students and professionals from computer science, medicine, and related fields. My goal is to support learners in developing strong methodological foundations, reproducible technical skills, and the ability to apply computational approaches to domain-specific challenges. Through seminars, lectures, and individual research supervision, I encourage critical thinking, interdisciplinary collaboration, and the thoughtful use of computational methods to address complex problems in healthcare and life sciences.
Note for prospective students: I regularly supervise Bachelor's and Master's theses in 3D medical shape reconstruction, generative modeling, and clinical decision support. Feel free to reach out with your CV and a brief description of your research interests.
From Large Language Models to Agentic AI
Charité – Universitätsmedizin Berlin
Data Science for Life Science
Co-instructor · S 25Lectures introducing advanced data analysis pipelines, statistical modeling, and data science methodologies tailored specifically for bioinformatics, biology, and computational life sciences curriculum.
Machine Learning
Co-instructor · W 25Core curriculum lectures detailing classical and modern machine learning foundations, including optimization algorithms, statistical learning theory, deep neural network architectures, and validation practices.
Statistik für Informatik
Tutor · S 25Leading exercise classes and computational tutorials in probability theory, statistical hypothesis testing, and exploratory data analysis for computer science majors.
Creating & Hosting Your Own Dental AI Chatbot
Charité – Universitätsmedizin Berlin
Artificial Intelligence in Dental Science
Charité – Universitätsmedizin Berlin · Jun. 2025 - Aug. 2025 (Weekly)
Python Essentials for Medical Professionals: A Hands-On Introduction
Charité – Universitätsmedizin Berlin · Two 3-hour seminars (21 - 28.02.2025)
Towards the Automatization of Cranial Implant Design: Retrospect, Current Methods and Future Perspective
Charité – Universitätsmedizin Berlin · ZMK Doctoral Colloquium
University of Duisburg Essen
Graz University of Technology
Graz University of Technology
Graz University of Technology
Graz University of Technology
BITS Pilani, India · Computer Algorithms for Medicine Laboratory
Graz University of Technology
Digitale Medizin und Künstliche Intelligenz (Wahlfach Seminar)
Lecturer · Topic: Introduction to Medical Shape Analysis
KiMedWS2324 - KI in der Medizin (Seminar) WS2324
Teaching Assistant
3D-Druck in Medizin und Zahnmedizin - Verstehen, Gestalten, Erleben für die Forschung und Patientenversorgung: Ein innovatives Lehrprojekt (Seminar)
Lecturer · Topic: AI-assisted Design of 3D Models for Medical 3D Printing and Surgery Planning
Digitale Medizin und Künstliche Intelligenz (Wahlfach Seminar)
Lecturer · Topic: Medical 3D Printing
Host for 'Schülerpraktikum'
Jan 2024Hosted student internships from Helmholtz Gymnasium and Grashof-Gymnasium at the Institute for Artificial Intelligence in Medicine (IKIM), Essen University Hospital.
Student Recruitment Presentation
Oct 2020Conducted research project presentations and live software demos at OpenLabNight 2020 at the Institute of Computer Graphics and Vision (ICG), TU Graz.