Dr. Michelle Stadelhofer

Assistant Professor

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Biography

Michelle Vestergaard Stadelhofer is a PhD student at Aarhus University in the Department of Forensic Medicine, focusing on the prevention of violence against children. Her research project integrates aspects of neuropediatrics, social pediatrics, and forensic medicine to address child abuse, aiming to predict and prevent it by mapping risk factors associated with physical abuse. Michelle graduated as a medical doctor from Aarhus University in 2024 and has gained experience in general practice and gastrointestinal surgery. Additionally, she has worked on projects related to visual design, project management, and leadership. Currently, she collaborates closely with the Department of Pediatrics at Rigshospitalet in Copenhagen, balancing her time between her PhD work and this partnership. Her responsibilities include research, teaching, and assisting in various projects within her research group. Michelle's commitment to preventing child abuse is reflected in her active participation in relevant research projects and committees.

Research Interests

Experience

PhD Student

2024-01-01 — Present

Aarhus University • Aarhus, Denmark

Conducting research in the Department of Forensic Medicine, focusing on child abuse prevention.

Member

2024-06-29 — 2027-08-01

Department of Children and Adolescent, Rigshospitalet • Copenhagen, Denmark

Involved in research and collaborative projects addressing child health.

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.