Dr. Mohamed Abdulkadir

Assistant Professor

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Biography

Mohamed Abdulkadir is an Assistant Professor at Aarhus University, associated with the Department of Public Health. His research focuses on genetic and environmental influences on psychiatric disorders, with a particular emphasis on eating disorders. He explores genetic risk factors that contribute to the onset and progression of these conditions, utilizing polygenic risk score analyses to assess the impact of childhood growth and eating behaviors on diagnostic transitions. Additionally, Abdulkadir investigates the interplay between genetic predisposition and environmental exposures that shape psychiatric traits. By leveraging large-scale genomic datasets, Danish health registers, and international cohorts, his work aims to elucidate the biological mechanisms underlying psychiatric disorders and contribute to improved risk assessment, prevention strategies, and potential therapeutic interventions. His responsibilities also include conducting genetic data analyses to uncover the genetic and environmental determinants of psychiatric disorders, applying advanced statistical methodologies, and disseminating research findings through academic publications and international conferences. Abdulkadir has established a strong network of collaborations in the field of psychiatric genetics, notably with the Psychiatric Genomics Consortium and the Eating Disorders Working Group.

Research Interests

Experience

Assistant Professor

— Present

Aarhus University • Aarhus, Denmark

Conducting research focused on genetic and environmental influences on psychiatric disorders, with a special emphasis on eating disorders.

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.