Dr. Kristian Stengaard Pedersen

Professor

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Biography

Kristian Stengaard-Pedersen is a Professor emeritus at Aarhus University, specializing in Clinical Medicine with a focus on Rheumatology. He has contributed extensively to research in the fields of immunology and rheumatology, particularly studying inflammatory markers, collagen metabolites, and the immune response in rheumatoid arthritis and spondylarthritis. His work includes examining cell receptors, surface markers, and cytokines, among others, to better understand the pathogenesis of these conditions. He has actively participated in various collaborative research projects and has served as an editor for research journals in addition to giving numerous lectures and presentations at international conferences. His academic career is marked by a significant number of research outputs spanning over two decades, reflecting his dedication to advancing knowledge in his field. Stengaard-Pedersen's research interests are aligned with the pharmacological aspects of rheumatologic treatment, focusing on disease-modifying antirheumatic drugs (DMARDs) and the efficacy of nonsteroidal anti-inflammatory drugs (NSAIDs). He is also known for his contributions to the education of future healthcare professionals in rheumatology.

Research Interests

Experience

Professor emeritus

— Present

Aarhus University • Aarhus N, Denmark

Served as a leading researcher and educator in Clinical Medicine, focusing on rheumatology.

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.