Research assistant at the chair of Prof. Dr. Thomas Schön• First to apply regression with DNNs to electrolyte concentration prediction from electrocardiograms• Trained model on new large-scale dataset with over 290k datapoints using SLURM based GPU cluster• Compared to alternative models such as classification and ordinal regression, highlighting trade-offs• Extended practical usefulness by adding uncertainty estimation through probabilistic regression• Documented results in a research paper submitted to ML4H conference 2022

• Designed low-budget testing framework for Inertial Measurement Units enabling rapid and cost-effective prototype testing, including intuitive front-end interface• Collaborated in 4-student team on software development and implementation• Implementation with RaspberryPi, Python and the Flask library to fulfill cost, function and schedule requirements• Demonstrated real-world usage by collecting data and evaluated prototypes using the novel framework

• Gained first software development team experience with adherence to industry standards such as software patterns and SCRUM• Demonstrated learned content by implementation of a concept database for file storage in Java Enterprise, JAX-RS