
Peter Bavinck
Leveraging ML Forecasting to Enhance the Stability of the Energy Grid

Oliver Ford
Oliver Ford, a Machine Learning Engineer with expertise in demand forecasting, predictive maintenance, and price optimisation. With a keen focus on AI interpretability and human-centred AI, he’s dedicated to crafting solutions that seamlessly integrate into real-world contexts, championing trust and collaboration.

Wouter Feil
Wouter Feil, a Product Manager Data with a background in data modelling, previously utilized his expertise in the supermarket industry to develop ML models for demand forecasting. He has since transitioned to a product role, where he is dedicated to harnessing data insights and forecasting for sustainable electricity grids, guided by his dual passions for data and sustainability.
Educating Medical Students on Applications of AI in Healthcare
Democratize Information With LLMs
Dairy to Data: 7 Lessons From Building a Data Product in 6 Months

Henk Griffioen
Henk is a Principal Data Scientist who builds AI products and AI teams at Xebia Data. He has been in building with AI for more than a decade and has seen all related roles in his 7+ years at Xebia Data. Whether it’s tech or biz, he likes simple solutions best.

Niels van den Broek

Kiki Boonen
With a background in Econometrics and experience in data-driven digital transformations, Kiki believes that every company can hire the best consultant to build a data / AI solution, but that business adoption and company knowledge of the usage of data is the key to success.
Kiki strives to deliver feasible solutions that align with clients’ business objectives. She is passionate about leveraging data and AI to drive business outcomes, and comfortable working with diverse teams to achieve success. With a down-to-earth approach, she believes in communicating complex insights in a clear and concise manner.