Personlig profil

Forskningsprofil

Research focuses on the use and integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), to improve the diagnosis and treatment of diabetes and other chronic conditions. I am particularly interested in leveraging these tools to develop more personalized healthcare solutions.

Undervisningsprofil

My approach to teaching and supervision is rooted in the principles of problem-based learning (PBL) and group-organized project work. I believe that this active learning method enhances students' ability to take responsibility for their own learning, promotes critical thinking and problem-solving skills, and encourages collaboration and communication.

In my pedagogical activities, I focus on creating relevant and authentic learning experiences, where students can apply their theoretical knowledge in practical contexts. I often integrate case studies, real-life project assignments, data from clinical studies, and external collaborators that reflect real challenges. In this way, I strive to motivate and engage students while providing them with the opportunity to develop the skills and competencies relevant to their future careers in the healthcare sector.

Ekspertise relateret til FN’s Verdensmål

I 2015 blev FN's medlemslande enige om 17 Verdensmål til at bekæmpe fattigdom, beskytte planeten og sikre velstand for alle. Denne persons arbejde bidrager til følgende verdensmål:

  • Verdensmål 3 - Sundhed og trivsel
  • Verdensmål 4 - Kvalitetsuddannelse

Uddannelse (Akademiske kvalifikationer)

University pedagogics for asisstant lecturers

Dimissionsdato: 1 dec. 2018

PhD, Predictive models in diabetes

Dimissionsdato: 8 sep. 2016

M.Sc. BME

Dimissionsdato: 11 jun. 2011

Eksterne ansættelser

Editor, ScienceBank

2025 → …

Member of Editorial Board, Journal of Diabetes Science and Technology

2024 → …

Emneord

  • Sundhedsteknologi
  • Diabetes
  • Machine Learning
  • Artificial Intelligence (AI)
  • Explainable AI
  • COPD
  • Chronic Diseases
  • Medical Informatics
  • Problembaseret Læring

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Samarbejde i de sidste fem år

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