September 2006 - November 2010
Leiden University, at the Leiden Institute of Advanced Computer Science (LIACS)
PhD in Computer Science
Thesis: A picture is worth a thousand words: content-based image retrieval techniques [view]
Under supervision of Dr. Michael Lew.

Summer 2009
The University of Tokyo, at the Aizawa-Yamasaki Laboratory
Visiting researcher
Goals: expand horizon, get acquainted with other researchers in the field and explore potential areas for collaboration. Under supervision of Prof. Kiyoharu Aizawa.

Summer 2008
Dublin City University, at the Centre for Digital Video Processing (CDVP)
Visiting researcher
Goals: expand horizon, get acquainted with other researchers in the field and explore potential areas for collaboration. Under supervision of Prof. Alan Smeaton.

September 1999 - June 2006
Leiden University, at the Leiden Institute of Advanced Computer Science (LIACS)
MS in Computer Science
Thesis: Immersive and Spatial Voice Audio in Networked Virtual Environments [view]
Grade thesis: 9.5/10, average grade graduate program: 8.8/10, average grade overall: 8.2/10.

Spring 2003
University of North Carolina at Greensboro (UNCG)
Exchange student
Grade point average: 3.7/4.0, included on the Dean's List

Fall 2002
Winston-Salem State University (WSSU)
Exchange student
Grade point average: 4.0/4.0, included on the Dean's List

September 1991 – June 1999
Grotius College
High-school student
Graduated in: Dutch, English, French, German, Physics, Chemistry, Maths A and Maths B

January - April 2010
Orientation on Technopreneurship: Entrepreneurial Management
Lecturer: Dr. Harmen Jousma
Orientation on Technopreneurship aims to lower the hurdles for students and researchers for getting involved in the process of starting high-tech ventures. The intention is to arm them with the basic knowledge on how to spot, assess and exploit an entrepreneurial, research-based business opportunity.

2-6 November 2009
ASCI course a22: Knowledge-driven Image Segmentation
Lecturer: Dr. ir. Boudewijn Lelieveldt et al.
Provides a comprehensive introduction in recent advances in knowledge-driven segmentation methods.

3-7 November 2008
ASCI course a6: Measuring Features
Lecturer: Prof. dr. ir. Lucas van Vliet et al.
Principles of measurement, geometrical image features, error propagation, parameter estimation techniques, etc.

26-30 May 2008
ASCI course a1: Advanced Pattern Recognition
Lecturer: Dr. ir. Bob Duin et al.
Research problems may partly be solved by automatic classifiers, but often also requires field-specific knowledge to obtain an acceptable solution. Statistical pattern recognition techniques are be examined with an emphasis on the generalization capabilities of learning systems.