Dr. Mark Hoogendoorn

Professor

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Biography

Mark Hoogendoorn is a full professor at Vrije Universiteit Amsterdam. His research focuses on machine learning applications primarily in the domains of health and wellbeing. He engages in fundamental machine learning research covering aspects such as efficiency, explainability, safety, and the integration of domain knowledge within hybrid intelligence frameworks. His application-driven research explores predictive modeling of diseases, personalized therapies, and health management systems like eHealth and mHealth. Additionally, Hoogendoorn is involved in various ancillary roles including directorships at Cairus Holding B.V. and PersonalAIze B.V. He actively contributes to the UN Sustainable Development Goals, emphasizing poverty alleviation, environmental protection, and overall prosperity. With a commitment to sharing knowledge, he has participated in editorial work for academic journals and peer review activities.

Research Interests

Experience

Director/Owner

2020-10-09 — Present

Cairus Holding B.V. • Nieuwkoop

Director/Owner

2020-10-09 — Present

PersonalAIze B.V. • Amsterdam

Board Member

2023-11-07 — Present

Volleybalvereniging Waterlanders • Nieuwkoop

Courses

Data Mining Techniques Machine Learning

Requirements for Vrije Universiteit Amsterdam

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:6.5
TOEFL
Listening
Required:22
Reading
Required:24
Writing
Required:24
Speaking
Required:25
Total
Required:100
Prerequisites
Bachelor's degree in Psychology or related field 12 ECTS in Research Methods/Statistics 12 ECTS in Clinical Diagnosis/Assessment
Application Checklist
  • Curriculum Vitae
  • Official Transcripts
  • Motivation Letter
  • Proof of English Proficiency
Specialization Notes

Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.