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Assistant Professor of Environmental Geography at VU Amsterdam
I am a research scientist working on modelling, mapping, and studying socio-cultural landscape interactions. I specialize in landscape qualities, such as livability and aesthetic beauty, especially as they are perceived by people. I'm also interested in dataset fairness (e.g. biases and confounders), human-machine interactions, multimodal data fusion approaches, and the interpretability of models. In 2024 I obtained my PhD degree from Wageningen University on the topic of deep learning for landscape qualities. I'm currently an assistant professor of environmental geography at the VU Amsterdam.
Wageningen University & Research
PhD candidate
January 1, 2019 – January 1, 2024
Wageningen University & Research
Master of Science (MSc.), Geographical Information Sciences
January 1, 2016 – January 1, 2019
Wageningen University & Research
Minor Geo-Information Sciences
January 1, 2014 – January 1, 2015
HZ University of Applied Sciences
Bachelor of Applied Science (BSc.), Delta Management
January 1, 2012 – January 1, 2016
HAS green academy
None, Environmental Sciences
January 1, 2011 – January 1, 2012
Maaslandcollege
HAVO, Natuur-Gezondheid
January 1, 2005 – January 1, 2011
HKUST Guangzhou
Adjunct Assistant Professor
January 1, 2025 – Present
Guangzhou, Guangdong, China · Hybrid
VU Amsterdam
Assistant Professor
September 1, 2024 – Present
VU Amsterdam
Postdoctoral Researcher
November 1, 2023 – September 1, 2024
Washington University in St. Louis
Visiting Researcher
November 1, 2022 – April 1, 2023
St Louis, Missouri, United States · On-site
Wageningen University & Research
PHD Candidate
September 1, 2019 – January 1, 2024
Wageningen
Antea Group Nederland
Advisor Data & Information
January 1, 2019 – July 1, 2019
Deventer
University of Melbourne
Visiting Graduate Researcher
March 1, 2018 – August 1, 2018
Greater Melbourne Area
Antea Group
Intern geo-machine learning
September 1, 2017 – January 1, 2018
Overijssel, Netherlands
Deltares
Intern web GIS and research
September 1, 2015 – June 1, 2016
Delft, South Holland, Netherlands
Projectbureau Zeeweringen
Intern documentation
July 1, 2015 – August 1, 2015
Middelburg
IHS Institute for Housing and Urban Development Studies (Erasmus University Rotterdam)
Intern GIS and research
January 1, 2015 – June 1, 2015
The Randstad, Netherlands
Sweco / Wageningen University FME Capita Selecta course
Sweco
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a strong focus on GeoAI and Remote Sensing. While this provides deep expertise in a niche ML area, the breadth of experience in general software engineering practices, product development lifecycles, or diverse industry applications for ML is not explicitly detailed. This might indicate a stronger fit for research-focused ML roles or organizations that heavily leverage geospatial data. The lack of diverse project experience outside of academic/research settings could be a moderate cultural fit challenge for a general ML Engineer role in a fast-paced product-driven environment.
Soft Skills & Operational Fit
The candidate's academic and research roles suggest strong analytical thinking, problem-solving, and independent research capabilities. Experience in teaching and guest lecturing implies good communication and presentation skills. The descriptions of past roles indicate a proactive approach to R&D and introducing new technologies (e.g., machine learning to Antea Group).