Alexander Lacki

• Analyzed biomedical signals using deep learning methods for personalized treatment • Developed novel semi-supervised clustering algorithms to improve patient stratification • Performed causal inference of drug effects to provide a foundation for treatment recommendation

• Designed a mechatronic motion seat which was installed in a vehicle • Researched deep learning methods for the detection and quantification of motion sickness

• Characterized public transport passengers based on automated fare collection data to allow Madrid’s public transport provider to better target their customer base • Developed survival analysis models for customer churn prediction

Biomechanics and Polymer Mechanics Research Group, Project: The influence of staining protocols for x-ray imaging on the mechanical properties of soft tissue

• Customer requirement management and requirement translation from German to English • Creation of product documentation for development and testing purposes • Database management in IBM Doors and IBM Synergy • Development of analytic and task automation tools