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CV

Summary #

I am Dr. med. univ. Daniel Zeymer von Metnitz, an Ophthalmology resident and researcher at the University Eye Hospital Tübingen, specializing in medical image analysis, biostatistics, and digital health innovation. My research in the Ueffing Lab focuses on machine learning driven predictive modeling for systemic diseases through retinal imaging. I have diverse clinical experience across leading institutions and actively contribute to teaching biostatistics. My past advocacy efforts aimed at enhancing youth participation in global health dialogues.

Full CV availabe at: linkedin.com/in/dzvm (link opens in a new tab).

Education #

I hold a Doctor of Medicine (MD) degree and a Bachelor in Medical Sciences (BScMed) from SFU Vienna, Austria, complemented by earlier medical studies at the University of Tübingen, Germany and TU Dresden, Germany.

Professional Experience #

Throughout my clinical journey, I have undertaken clerkships in various departments including Cardiology, Gastroenterology, Radiology, Vascular Surgery, Emergency Medicine, and General Surgery at prestigious institutions such as the University Hospital Heidelberg, University Hospital Zurich (USZ), Charité Berlin, University Hospital Munich and the University Medical Center Hamburg-Eppendorf (UKE).

2023 Agaplesion Diakonie Kliniken Kassel | Departement of Internal Medicine | Clerkship | Kassel, Germany
2023 University Hospital Munich | Departement of Cardiology and Departement of Gastroenterology | Clerkship | Munich, Germany
2023 University Hospital Heidelberg | Departement of Radiology | Clerkship | Heidelberg, Germany
2022 University Hospital Zurich | Departement of Vascular Surgery | Clerkship | Zurich, Switzerland
2022 Charité | Department of Emergency Medicine | Clerkship | Berlin, Germany
2021 Educational Surgical Clinical of Azerbaijan Medical University | Department for General Surgery | Clerkship | Baku, Azerbaijan
2020 Charité | Department of Cardiology | Clerkship | Berlin, Germany
2019 University Medical Center Hamburg-Eppendorf (UKE) | Department of Vascular Medicine, Vascular Surgery | Clerkship | Hamburg, Germany
2017 - 2018 BG Unfallklinik Tübingen | Clinic for trauma and reconstructive surgery | Student Assistant in Operating Room | Tübingen, Germany
09/2014, 03/2014, 10/2012 Agaplesion Diakonie Kliniken Kassel | Intensive care unit | Care Practical | Kassel, Germany
2010 Cedars-Sinai Medical Center | Division of Cardiology | Volunteering in Research | Los Angeles, USA

Certifications and Expert Evaluation #

I hold the Immediate Life Support (ILS) Provider certification from the European Resuscitation Council (January 2021). Additionally, I served as an expert in the institutional accreditation of UMIT Tirol - Private University for Health Sciences and Health Technology for AQ Austria from September 2022 to January 2023.

Technical Skills #

I combine clinical expertise with advanced computational skills essential for medical imaging research. My primary tools include Python (with NumPy, Pandas, scikit-learn) and R for statistical modeling and machine learning, complemented by MATLAB, SPSS, and GraphPad Prism for biostatistical analyses. I specialize in medical image analysis using OpenCV and SimpleITK, particularly for retinal imaging applications. For deep learning projects, I work with TensorFlow and PyTorch to develop predictive models for systemic disease detection. I manage research workflows using SQL databases, Jupyter Notebooks, and Git version control, ensuring reproducible and collaborative science.

Associations & Affiliations #

I believe in transparency, which is why I openly share my associations and affiliations to provide clarity about my professional and personal commitments.

Please feel free to contact me for further details or inquiries.