Summary
Gent Ymeri is a doctoral student and applied researcher based in Malmö with eight years of experience at the intersection of digital health, visual data analytics, machine learning and HCI. He has contributed to multidisciplinary projects assessing Parkinson’s Disease—collaborating with groups at the University of Edinburgh and FHNW on smartphone-based speech tests and tremor analysis—bringing clinical-focused signal analysis into research prototypes. With research and engineering roles across European universities, Gent blends rigorous MSc-level computer science training with hands-on software development experience from industry internships. He is skilled at turning complex sensor and speech data into interpretable visualizations and ML models that inform clinical decision-making. Notable is his pattern of short-term research visits that accelerate translational collaborations, indicating both adaptability and a strong network in digital health research. He combines academic rigor with practical engineering sensibilities to move health analytics from proof-of-concept toward real-world evaluation.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer and Information Science, Master of Science - MS, Computer and Information Science at University of Konstanz
Bachelor of Science - BS, Business Informatics, Bachelor of Science - BS, Business Informatics at South East European University (SEEU)
Albanian, English, German, Croatian