Dr. Jette Steinbach

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Jette Steinbach. Improve your application with a focused, well-structured draft.

Biography

Jette Steinbach is a PhD student at the National Centre for Register-based Research at Aarhus University, focusing on statistical genetics with an emphasis on predicting psychiatric disorders. Her research evaluates the impact of genetic and environmental heterogeneity on the accuracy of clinical prediction models, contributing to the development of inclusive and robust prediction models aimed at reducing bias and health disparities in current clinical practices. Jette also co-organizes the Anti-Discrimination Working Group, promoting informed and inclusive research that addresses bias and discrimination in genetics, striving to improve equality and diversity in the field. Funded by the Danish Data Science Academy, her current research includes an epidemiological study evaluating the clinical utility of polygenic scores in bipolar affective disorder patients. Additionally, Jette collaborates with Andrew Schork and colleagues at the Institute of Biological Psychiatry to assess the effects of family history measures on common complex disorders. During her PhD, she also taught an Advanced R course in the Faculty of Health, aiming to enrich students' knowledge through practical exercises and promoting an inclusive learning environment.

Research Interests

Experience

PhD Student

2022-01-01 — Present

National Centre for Register-based Research • Aarhus University, Denmark

Conducting independent research on prediction models, managing data and disseminating findings through conferences and publications.

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.