I’m a PhD candidate in quantitative marketing at Rotterdam School of Management, Erasmus University. 

Before starting my journey to become an academic researcher, I studied and worked in the U.S. for 14 years. My last position was at Amazon where I used data science techniques to improve business decision-making. I’ve had extensive experience using field experiments, causal machine learning, and quasi-experimental methods, to solve complicated business problems. 

I am currently working on two projects: 

• Use Reason-Specific Interventions to Encourage Sustainable Choices: I study consumers' mental representations of sustainable behavior across different situations using large language model embeddings. Using the identified reasons, I designed and tested persuasive messages to encourage more sustainable choices in a field experiment. 

• Personalize Retention with Goal-Relevant Offers using Causal Machine Learning: I collaborate with a Dutch energy company on multiple large-scale field experiments to optimize retention campaigns, designing offers aligned with consumers' goals to improve profitablity. 

I travel regularly between the Netherlands and USA. Outside of research, I enjoy bouldering (both in the gym and on the rocks), snowboarding, and running.