Dirk W. J. Meijer




Computer Science PhD candidate, specializing in Machine Learning and Pattern Recognition. Solution-focussed, pragmatic and able to think outside the box without losing sight of the problem at hand. Naturally skilled at puzzle solving and abstract thinking, allowing a structured approach to problems and quickly incorporating new information in the process. More motivated than discouraged by a challenge. Enjoys researching new topics and does not require much supervision or instruction.

Research Interests

  • Machine Learning
  • Pattern Recognition
  • Computer Vision
  • Image Processing
  • Audio Processing
  • Artificial Intelligence
  • Data Visualization


2016 Computer Science MSc

Media & Knowledge Engineering track

Delft University of Technology

Thesis: Regularizing AdaBoost to prevent overfitting on label noise

2014 Applied Physics BSc
Delft University of Technology

Thesis: Evaluation of Fundus Photo Registration Quality for Progression Detection of Diabetic Retinopathy


Supervised Projects

  • Roy van Hal, BSc thesis Computer Science, 2017.
  • Mitchell Kesteloo, BSc thesis Computer Science, 2017.


2016 -


PhD Candidate at Leiden Institute of Advanced Computer Science, Leiden University
2014 - 2016 Functional Application Analyst at EP-Nuffic, The Hague
2013 - 2014 Help Desk Staff at Beekenkamp, Maasdijk
2011 - 2011 Preparational IT work at the Ministry of Infrastructure and Enviroment, The Hague
2010 - 2010 Help Desk Staff at CBR, Rijswijk
2007 - 2009 Audiovisual Technician at Enigma Enterprise, Zoetermeer


Programming Languages

  • Python
  • C
  • LaTeX
  • Haskell
  • R
  • Ruby
  • Lua
  • SQL
  • Java
  • Javascript

Operating Systems

  • Linux (2.6 and newer)
  • Windows (XP and newer)
  • Apple OS X

Software Tools

  • GNU Core Utilities
  • Cygwin
  • OpenCV
  • TensorFlow
  • git
  • vim
  • Microsoft Office
  • OpenOffice
  • D3
  • Tableau
  • Gimp
  • Adobe Photoshop

Natural Languages

  • English (Fluent)
  • Dutch (Fluent)