Computer Science researcher, specializing in Machine Learning and Computer Vision. Solution-focused, 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. Enjoys researching new topics and does not require much supervision or instruction.
| Expected 2021 |
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 |
| 2016 - (current) |
PhD Candidate at Leiden Institute of Advanced Computer Science, Leiden University |
| 2014 - 2016 | Functional Analyst/Data Specialist at 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 |