My journey in data science began with a leap of faith in high school when I chose to study computer science despite having no prior experience. That decision sparked a passion that led me to earn a bachelor's degree in Cognitive Science and Artificial Intelligence from Tilburg University.

Throughout my academic career, I've worked on diverse projects from predicting whale migration patterns using regression models to designing deep learning systems for audio analysis. My thesis research on how second language acquisition affects native language processing demonstrated the power of interdisciplinary approaches.

Currently, I am pursuing a Master's in Applied Data Science at Utrecht University, I'm developing expertise in Python, machine learning frameworks, and statistical analysis. My vision is to bridge the gap between raw data and clinical applications, particularly in neuroscience, where early detection of conditions like Alzheimer's could significantly improve patients' quality of life.

With experience in research and practical project implementation, I'm passionate about creating data-driven solutions that address real-world challenges, particularly in healthcare and environmental sustainability. I believe in developing technologies that are not only advanced but also accessible to everyone, contributing to a healthier society for future generations.