Curriculum Vitae

Contact

d.w.j.meijer@gmail.com
+31638009134

Summary

Scientific programmer with a background in computer science research. Expert in Python 3, proficient in many other languages used in scientific computing. Strong analytical abilities, enjoys tackling non-trivial problems. Will think with researchers, going the extra mile to ensure an optimal solution is found.

Education

2023

Computer Science PhD
Leiden University

Thesis: Machine Learning and Computer Vision for Urban Drainage Inspections

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

Selected Publications

Dirk Meijer, Rianne Luimes, Arno Knobbe & Thomas Bäck (2022). Anomaly Detection in Urban Drainage with Stereovision
Dirk Meijer, Lisa Scholten, Francois Clemens & Arno Knobbe (2019). A defect classification methodology for sewer image sets with convolutional neural networks.
Dirk Meijer, Mitchell Kesteloo & Arno Knobbe (2018). Unsupervised Anomaly Detection in Sewer Images with a PCA-based Framework.
Dirk Meijer & Arno Knobbe (2017, Extended Abstract). Unsupervised region of interest detection in sewer pipe images: Outlier detection and dimensionality reduction methods.
Dirk Meijer & David Tax (2016). Regularizing AdaBoost with validation sets of increasing size.
Kedir Adal, Rosalie Couvert, Dirk Meijer, Jose Martinez, Koenraad Vermeer & Lucas van Vliet (2014). A quadrature filter approach for registration accuracy assessment of fundus images.

Work Experience

2023 - (current)	Scientific programmer at Human Centered Data Analytics, Centrum voor Wiskunde en Informatica (CWI), Amsterdam Helping researchers set up experiments Technical troubleshooting (python, git, linux) Server maintenance
2022 - 2023	Postdoctoral researcher at Human Centered Data Analytics, Centrum voor Wiskunde en Informatica (CWI), Amsterdam Researching fake news detection techniques with supervised learning from crowdsourced data
2016 - 2021	PhD Candidate at Leiden Institute of Advanced Computer Science, Leiden University Researching sewer inspection automation with computer vision and convolutional neural networks Supervising student projects Server maintenance
2014 - 2016	Functional Analyst/Data Specialist at Nuffic, The Hague Assisting end-users with specialized and common software Automating report generation from multiple sources with Power BI and Tableau
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

Skills

Programming Languages

Python
R
MATLAB
SQL
C
Javascript
LaTeX

Languages

English (Fluent)
Dutch (Native)

Software Tools

GNU Core Utilities
git
OpenCV
Tensorflow
Torch
sklearn
spacy
Microsoft Office
D3.js
Tableau

Dirk w. j. Meijer