About me
Medical Information Scientist & Machine Learning Engineer.
My team for "Applied Artificial Intelligence in Healthcare" at the Institute for Applied Medical Informatics and I are working on bringing machine learning algorithms and deep learning models into clinical reality. I support clinical projects that are intended to benefit from these methods from the early conception phase, through consultation on the recording and cleansing of data, to model development and critical evaluation in peer-reviewed publications. My special expertise are complex time series, for example in the form of sensor data and electronic patient records.
- Website: www.gundler.de
- ORCID iD: 0000-0001-9301-8872
- Affilation: UKE
- ResearchGate: Christopher-Gundler
Curriculum Vitae
Education
PhD
2023 - 2026
University of Hamburg
Master of Science
2018 - 2021
University of Osnabrueck
Semester Abroad
2017
Auckland University of Technology
Bachelor of Science
2015 - 2018
University of Osnabrueck
Most recent professional experience
Group lead "Applied Artificial Intelligence in Healthcare"
2022 - Present
University Medical Center Hamburg-Eppendorf
- Scientific group lead
- Responsible for a team with up to 12 motivated data scientists and students
Research Associate
2022 - 2022
University Medical Center Hamburg-Eppendorf
- Implementing AI solutions for healthcare applications
Head of Artificial Intelligence
2021 - 2022
mindQ GmbH & Co. KG
- Design and implementation of AI methods for novel usecases
- Interpretable and verifyable processing of sensor data
Software Developer
2018 - 2021
University Medical Center Hamburg-Eppendorf
- Developing software solutions for customers
Contact
Location:
Quellenweg 17, Hamburg
Email:
christopher@gundler.de