AI & Data Science Educator | PhD in Deep Learning & Medical Image Analysis | Sports | Nutrition | Sustainability
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I translate complex AI and Data Science concepts into practical, engaging teaching – from fundamentals to advanced applications. Open to educator and teaching roles in DE/NL. Feel free to contact me.
University of Amsterdam
Doctor of Philosophy - PhD, Biomedical/Medical Engineering
September 1, 2017 – September 1, 2022
Universität zu Lübeck
Master of Science (M.Sc.), Medical Engineering Science
January 1, 2014 – January 1, 2017
Universität zu Lübeck
Bachelor of Science (B.Sc.), Medical Engineering Science
January 1, 2011 – January 1, 2014
karriere tutor GmbH
Dozent AI & Big Data
November 1, 2025 – Present
Cologne, North Rhine-Westphalia, Germany · On-site
REWE Group
Data Scientist Analytics
October 1, 2024 – November 1, 2025
Cologne, North Rhine-Westphalia, Germany · On-site
RIVM National Institute for Public Health and the Environment
Data Scientist Nutrition and Health
August 1, 2022 – September 1, 2024
Bilthoven, Utrecht, Netherlands
AMC - Academisch Medisch Centrum
PhD Deep Learning for Medical Image Analysis
September 1, 2019 – December 1, 2021
The Randstad, Netherlands
UMC Utrecht
PhD Deep Learning for Medical Image Analysis
October 1, 2017 – August 1, 2019
Utrecht und Umgebung, Niederlande
MILabs
Master's Thesis on the Acceleration of Pinhole PET Reconstruction
October 1, 2016 – March 1, 2017
The Randstad, Netherlands
UC Berkeley
Master's Project on the Sensitivity of Magnetic Particle Imaging
January 1, 2015 – May 1, 2015
Berkeley, California, USA
Nutrition and Health: Macronutrients and Overnutrition
Wageningen University & Research
June 24, 2026 – Present
Nutrition, Exercise and Sports
Wageningen University & Research
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background in medical engineering and a PhD in deep learning for medical image analysis, followed by roles in public health and retail. While the core technical skills in ML/AI are relevant to an ML Engineer role, the specific domain focus has been varied. The transition from highly academic/research-oriented roles to more applied data science roles, and then to a teaching role, suggests a broad interest but also a potential lack of sustained focus on a single industry or product development cycle. The absence of explicit team collaboration projects in descriptions makes it harder to assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's experience as a Dozent (lecturer) suggests strong communication and mentoring skills. The PhD research and subsequent data scientist roles indicate a methodical approach to problem-solving and a capacity for independent work. Experience in diverse environments (academic, public health, retail) suggests adaptability.