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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, where I specialize in medical image analysis, biostatistics, and digital health innovation. As a member of the Ueffing Lab, my research advances the understanding of retinal structures and their links to systemic diseases, with a focus on predictive modeling for conditions such as diabetes.

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.

For a comprehensive overview, view my complete: 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). These roles have equipped me with a comprehensive understanding of diverse medical specialties and enhanced my clinical skills.

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 possess strong technical skills essential for medical research and data science. I am proficient in Python and MATLAB, which I use for statistical modeling, data visualization, and implementing machine learning algorithms in my research. My expertise extends to R, SPSS, and GraphPad Prism for advanced data analysis and biostatistical workflows.

I regularly work with tools like NumPy, Pandas, SciPy, and scikit-learn for data preprocessing and predictive modeling, and I utilize TensorFlow and PyTorch for building and training neural networks. In image analysis, I leverage libraries such as OpenCV and SimpleITK to process and analyze medical imaging datasets, particularly retinal images.

For data management and collaboration, I am experienced in SQL, Jupyter Notebooks, and version control with Git. My programming skills also include HTML, CSS, and PHP, which I have used for research-related web development projects. Additionally, I am familiar with Objective C and Swift, which complement my ability to explore innovative solutions in healthcare technology.

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.