Dr. M J T Reinders

Professor

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Biography

Professor Reinders holds a position at Delft University of Technology as well as at the Leiden University Medical Center. At Delft, he heads the Pattern Recognition Bioinformatics section within the Computer Science departments of the Faculty of Electrical Engineering, Mathematics, and Computer Science. His section comprises several research labs, including the Delft Bioinformatics Lab, Pattern Recognition Lab, and Computer Vision Lab, totaling around 60 members, which includes scientific staff, PhD students, and MSc candidates. Additionally, he leads the Leiden Computational Biology Center, which focuses on generating new biological insights and clinical applications through the analysis of molecular data. His research utilizes advanced machine learning techniques to develop methodologies for data-driven biological analysis, emphasizing the latest technologies such as single-cell and spatio-temporal omics data. His expertise includes genetics, nervous system diseases, and the integration of genomic data. Throughout his career, he has contributed to various professional advisory boards and has directed significant educational initiatives in bioinformatics and computational biology.

Research Interests

Experience

Professor

2009-01-01 — Present

Delft University of Technology • Delft

Heads the Pattern Recognition Bioinformatics section.

Director

2010-01-01 — 2017-01-01

Netherlands Bioinformatics Center (NBIC) •

Courses

Master track Bioinformatics Functional Genomics Systems Biology Datamining Bioinformatics NBIC course on Pattern Recognition

Requirements for Delft University of Technology

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:100
GRE General
Verbal
Required:154
Quantitative
Required:159
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor degree in a related field Sufficient credits in key subjects (Mathematics, Physics, Discipline-specific)
Application Checklist
  • Bachelor's degree certificate
  • Academic transcript
  • English language certificate
  • Curriculum Vitae (CV)
  • Motivation letter
  • Two letters of recommendation
  • Identity document (Passport)
  • GRE General Test results (for international diplomas)
Specialization Notes

Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.