Personal profile

Research profile

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.

Teaching profile

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education

Education/Academic qualification

University pedagogics for asisstant lecturers

Award Date: 1 Dec 2018

PhD, Predictive models in diabetes

Award Date: 8 Sept 2016

M.Sc. BME

Award Date: 11 Jun 2011

External positions

Editor, ScienceBank

2025 → …

Member of Editorial Board, Journal of Diabetes Science and Technology

2024 → …

Keywords

  • Biomedical Engineering
  • Problem Based Learning

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Collaborations from the last five years

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