Philipp Von Bachmann Email & Phone Number

Tübingen, BW, DE

Germany

Uppsala, Uppsala County, Sweden

• 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

Kusterdingen, Baden-Württemberg, Germany

• 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

Master Of Science - Ms, Machine Learning, Current Gpa: 1.3 (De), 3.7 (Us)

Exchange Semester Through The Erasmus Program, Machine Learning

Bachelor Of Science - Bs, Cognitive Science, 1.3 (De), 3.7 (Us)