Manuel has a background in sport science and data science and has been involved in studies involving football analytics using optical tracking. His PhD focuses on using voice to assess the risk of diabetes-related complications. Diabetes can affect organs involved in voice and speech production. By analyzing the voice and vocal biomarkers, the aim is to monitor and diagnose conditions such as cardiovascular disease, neuropathy, and diabetes distress. During the project, he will collect new data and develop machine learning models to predict these complications, contributing to innovative monitoring methods for diabetes in the future.

Supervisor team

• Adam Hulman, Associate Professor & Senior Data Scientist, Steno Diabetes Center Aarhus
• Guy Fargherazzi, Director of Department of Precision Health, Deep Digital Phenotyping Research Unit
• Christian Stevns Hansen, post.doc researcher at Steno Diabetes Center Copenhagen

The PhD project is funded by the Danish Data Science Academy and Danish Diabetes and Endocring Academy