Hello, I’m Marc
passionate about science, modelling, and statistics
I am passionate about science, modelling, and statistics. For the past 10 years, I have engaged in hands-on mathematical modelling myself, trained others, and built and led teams. During that time, I have learned that companies are most successful if they focus on the following four pillars: data-driven decision making, mathematical resilience, demystifying data science, and dedicated symbiosis. To support any or all of the four pillars, I have divided my services into hands-on modelling, training, and consulting.
HANDS-ON
This is where I analyze the data, apply the statistics, and create the models. This can range from designing and analyzing a study to building an AI system. Ownership of any deliverable created (e.g., model, system, report) will always be transferred to the client.
TRAINING
This is where I offer training to help you increase your mathematical resilience, and see data science in a less mystical way. The format and statistical subject is fully discussable – I have done personal training, group-training or full curricula.
CONSULTING
I am also available for advice from a more high-over perspective which is essential for reaching dedicated symbiosis. As a psychologist by training, I will offer a no-nonsense view on making data and processes work for you.
From earthquake to zoonosis: on using models for policy
Corona, the allowance affair, the nitrogen crisis, the Groningen earthquakes, the climate problem: all files that show that the government does not know how to deal with new models. It is important to create more social awareness about the use of models. This book helps everyone understand what models do and don’t tell, and how to use them wisely. Models can help, but only as a start of a conversation and not as an end point. (in Dutch)
The demystification of AI: a plea for the use of common sense.
Applications using Artificial Intelligence can do more and more by combining lots of data with computing power and easy accessibility. This means that technology like AI almost has to be used, even if the added value is not obvious. However, a healthy relationship between humans and technology requires that the user not only has the necessary knowledge, but also remains ultimately responsible. Only then will technology actually deliver. (in Dutch)
