Dr. Titia Hompes

Associate Professor

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Biography

Titia Hompes is an Associate Professor at KU Leuven, affiliated with the Department of Neurosciences. Her research focuses on perinatal mental health, particularly in understanding the prevalence and prevention of perinatal depression. She has significant experience in conducting studies that evaluate the needs for mental health screening among women from culturally and linguistically diverse backgrounds in Belgium. Dr. Hompes is also actively involved in various curriculum developments for medical education within the Faculty of Medicine. She has made substantial contributions to the understanding of maternal health and has been involved in numerous research projects that shed light on medication use and its implications for mother-infant health outcomes. Titia frequently presents her research at international conferences and has co-authored multiple publications in peer-reviewed journals. Her work is instrumental in influencing healthcare practices concerning maternal mental health and fostering a better understanding of the factors affecting perinatal wellness.

Research Interests

Experience

Associate Professor

2020-09-01 — Present

KU Leuven • Leuven, Belgium

Teaching in the Faculty of Medicine and conducting research in perinatal mental health.

Requirements for KU Leuven

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:94
GRE General
Verbal
Required:154
Quantitative
Required:166
Overall
Required:154
Prerequisites
Academic Bachelor's programme in Engineering Science with strong components in computer science and mathematics Bachelor's degree in Informatics or Computer Science with a strong component of mathematics
Application Checklist
  • Official transcripts
  • Summary of Key Application Data
  • Selftest
  • Statement of motivation
  • GRE Score Report (unless EEA/UK/CH degree)
  • CV
Specialization Notes

Master of Engineering: Computer Science. Admission is at the discretion of the Faculty of Engineering Science.